Podcasts about Splunk

Ever wonder how 80,000 people can upload to TikTok at the exact same time during a halftime show? Or how NFL teams are using AI to draft the next superstar? This week, Kat flies solo (while Ian is off "hosting partners"—sure, Ian, we know you're golfing) to sit down with Bryan Bedford, Cisco's Director of US Commercial Sports, Media, and Entertainment. Bryan shares his hilarious journey from college football coach to tech leader, why massive sports brands actually have tiny IT teams, and how Cisco, NVIDIA, and Splunk are teaming up to build the biometric, hyper-personalized stadium of the future. Plus, Kat teaches a tech executive how to use the 'Do Not Disturb' button. If you want to see what that tech looks like in action, click here: https://www.cisco.com/site/us/en/solutions/industries/sports-media-entertainment/index.html#tabs-9da71fbd27-item-1288c79d71-tab

In this episode of Partnerships Unraveled, host Rick van den Bosch sits down with Elisabeth De Dobbeleer, Senior Vice President of Global Programs, and Jason Gallo, Global Vice President of Partner Value Acceleration, both at Cisco. Together they walk through the design and launch of Cisco 360, the most significant overhaul of Cisco's partner program in more than two decades.The conversation opens with what made this the right moment to act. Cisco's existing program, despite being considered best-in-class, had been built up over 20 years through layers of additions and adjustments, and the complexity had become a genuine friction point for partners. Combine that with a market shifting toward lifecycle selling, an ecosystem that had diversified significantly, and AI changing both what customers need and how they buy, and the case for a new program built for agility became clear. Cisco 360 was designed to recognize both depth and breadth: partners who specialize in areas like security or AI, and partners who bring end-to-end value across the full Cisco portfolio.At the center of the program sits a Partner Value Index, a metric that defines partner value in terms of the outcomes delivered to customers. Building toward that metric required a genuine co-design process. Elisabeth and Jason describe how it grew from a small internal group of disruptive thinkers into a community of hundreds, with structured input from partners via the Partner Operations Advisory Board, open webinars, and a three-day working session in Dublin. The result was a program where partners felt genuinely heard, and a launch on January 25th that went remarkably smoothly.The work continues: advisor, developer, and distribution partner value indices are in development, Splunk integration is underway, and investment in the digital partner experience platform remains a central priority._________________________Learn more about Channext

Microsoft Build 2026 announced an end-to-end agentic AI stack. COMPUTEX Taipei confirmed heterogeneous AI infrastructure across ARM, Marvell, Intel, Qualcomm, and NVIDIA. Alphabet raised $80 billion. Cisco Live repositioned the network as the AI platform. Patrick Moorhead and Daniel Newman break it all down alongside earnings from Broadcom, HPE, Palo Alto Networks, and CrowdStrike, plus the token cost conversation, the edge AI push, and what Palantir and Oracle are saying about proprietary data as the real AI moat. The handpicked topics for this week are: Microsoft Build 2026 Announced an End-to-End Agentic AI Stack: Microsoft shipped MAI-Thinking-1, its first homegrown thinking model, alongside Scout, Microsoft IQ, Project Solara, and a Majorana 2 quantum update targeting a 2029 commercial timeline with claims of a 1,000x reliability gain. Pat describes MAI-Thinking-1 as likely better than Sonnet 4.6 in blind testing and delivering close to GPT 5.5 quality at a far lower cost. Scout is Microsoft's first autopilot agent, anchoring the M365 Agent Suite with Office Pilot Agent Mode and Agent 365. Microsoft IQ serves as the context layer, integrating M365, business data, boundary IQ, and web IQ with GitHub Copilot, Foundry, and Copilot Studio. Project Solara is a new Android-based platform built for agent-first devices across transportation, retail, and hospital settings. Microsoft also added 83 Unix commands to the Windows stack. Dan frames Microsoft's real play as distribution, not frontier model development, noting that the open model ecosystem being pulled into the platform will matter more to CFOs managing token costs at scale. (The Decode) The AI Stack Goes Multi-Silicon — COMPUTEX Taipei 2026 Confirms Heterogeneous AI Infrastructure: ARM's AGI CPU is in production with Google moving its TPU head node to ARM, and adding Oracle and ByteDance as new customers. ARM also introduced a new switch, the TT100, and put the 51T CPO switch on stage. Marvell received a trillion-dollar company endorsement from Jensen Huang, adding $90 billion in market cap on the comment alone. Intel announced disaggregated inference details and Xeon 6+ Clearwater Forest, its first 18A data center processor. Vista Equity and Cambium Capital announced a NeoCloud called Vector Core Compute, with Xeon 6 handling orchestration, Salmonova RUs handling decode, and Blackwell GPUs handling pre-fill. Qualcomm's Cristiano Amon announced the Dragonfly data center brand with Snapdragon C details coming at their June investor day. The WSTS raised the 2026 semiconductor TAM forecast by 90% to $1.51 trillion, with Pat noting the market could hit a trillion dollars if memory is excluded entirely. (The Decode) NVIDIA RTX Spark and the Edge AI Push: NVIDIA coordinated with ARM and Microsoft around the RTX Spark at COMPUTEX, with the shared message being that the future of Windows is here. Signal65's Ryan Shrout asked Jensen directly why NVIDIA wants to be in the PC business, given low margins and diminishing returns. Dan frames the answer in the context of devices increasingly becoming mobile data centers, capable of running models at much greater efficiency than cloud delivery. The edge AI conversation is also directly tied to token cost economics: as intelligence delivery moves closer to the device, the cost per token drops significantly. The jury is still out on whether NVIDIA will meaningfully disrupt the PC market, but its influence over OEMs like Lenovo and Dell that depend on it for data center gives it real leverage over SKUs. (The Decode) Token Economics and Frontier Model Cost Pressure: Dan and Pat discuss a substantive shift in how enterprises are thinking about AI consumption costs. Dan argues that "token maxing," the practice of defaulting to the most powerful frontier model for every task, has now effectively peaked, as bills have come due at scale. Companies paying for tokens in volume are starting to question whether they can afford the prices that frontier models actually cost to deliver. Pat pushes back, saying the dynamic is still present, but both analysts agree that the market is moving toward a model where token selection is matched to the job, with Microsoft's MOE approach and thinking models positioned to help CFOs manage that economics story. (The Decode) Continuum Goes Public at Highest Valuation for an AI Platform: Dan notes that Continuum, the Honeywell-spawned quantum company, went public this week at what he calls the highest valuation for an AI platform to date. He flags that IonQ will likely contest that characterization. The broader context is Microsoft entering the quantum conversation with Majorana 2 at Build, a name that has largely been absent from the quantum race, while IBM has received most of the attention. (The Decode) AI CapEx Has Outgrown Cash Flow — Alphabet's $80 Billion Equity Raise: On June 1, Alphabet announced an $80 billion equity capital raise, upsized to $85 billion, structured as $40 billion ATM, $30 billion underwritten, and a $10 billion private placement with Berkshire Hathaway anchoring. Pat frames the questions over CapEx returns as entirely dependent on whether you are an AI boomer or a doomer: if the payback comes, the raise is the right move. If it does not, the math doesn't close. Dan argues the investment is existential, drawing parallels to how infrastructure-first companies have always spent ahead of monetization, and notes that Google's equity is being used as a capital engine that may be more efficient than the debt markets right now. Both analysts flag the downstream implications for Broadcom, MediaTek, and Marvell given the TPU connection. (The Decode) The Network Becomes the AI Platform: Cisco Live 2026: Cisco launched Silicon One P200, the Secure AI Factory with NVIDIA and Spectrum X, AgenticOps, MCP-native automation, Cisco IQ, LiveProtect, and folded Astrix Security and Galileo into Splunk under one control plane. Pat identifies Cisco Cloud Control as the biggest announcement of the entire show, pulling together Catalyst, Meraki, Nexus, Firewall, and WebEx under agentic ops that run natively through MCP, with code running directly on smart switches that have x86 processors. Pat also credits Cisco for establishing Silicon One as a credible chip alternative for hyperscalers capable of taking on Tomahawk and Jericho. Dan frames the long-term opportunity as campus and branch enablement when industrial AI and robotics deployments accelerate, arguing that the numerator of AI's economic impact has barely started, as edge deployment spending has not yet begun. (The Decode) The Flip: Did Microsoft Build 2026 Effectively End the OpenAI Partnership? Pat argues the divorce decree has been filed. MAI-Thinking-1 was built with zero distillation from third-party models offering clean enterprise data lineage, with Maia 200 in production plus Anthropic chip supply, which signals vendor hedging. OpenAI is going all-in on AWS, which means you cannot be married to two people, and the full Build stack covering model, OS containment via MXC, agents via Scout and Agent 365, and context via Microsoft IQ removes every architectural dependency on OpenAI. Dan counters that Microsoft is hedging rather than leaving and predicts the partnership will run through the decade. Enterprise Copilot customers are explicitly showing in data that they demand GPT 5.5, internal benchmarks have not been independently validated, and Microsoft stands to make meaningful money from the OpenAI IPO. (The Flip) Broadcom Q2 FY26 Earnings: Broadcom posted revenue of $22.19 billion, a narrow miss depending on which consensus data set is used, with EPS of $2.44 beating estimates and AI semis at $10.8 billion. Hock Tan declined to raise the $100 billion full-year AI chip target, and the stock dropped 13% in premarket trading. Q3 guide came in at $29.4 billion. Pat calls the miss a timing issue driven by Google's multi-sourcing across Marvell, MediaTek, and Broadcom rather than a fundamental problem. Dan flags that Hock Tan opened the earnings call by accidentally reading from the 2025 print, calling it "not the best moment." Sell-side re-ratings held in the 500s across Jefferies, Mizuho, and Deutsche Bank despite the drop, with Futurum Equities having it at 600. (Bulls and Bears) Hewlett Packard Enterprise Q2 FY26 Earnings: HPE delivered revenue of $10.68 billion, up 40% year over year, and EPS of $0.79, up 100%. Juniper integration and AI servers both outperformed, and all FY26 guides were raised. The stock jumped 19% after hours before settling into a roughly 15% gain, with HPE up 68% over the last month. Pat frames HPE as a value play rather than a volume play, methodically targeting enterprise and sovereign cloud deals where it can maintain profitability, rather than competing for massive NeoCloud volume. Antonio Neri was clear on the call that the profitability pull-forward is a one-shot deal. Pat and Dan will both be at HPE Discover the week after next to interview Neri and the C-suite. (Bulls and Bears) Palo Alto Networks Q3 FY26 Earnings: Palo Alto posted revenue of $3.0 billion, up 31% year over year, beating the $2.94 billion estimate, with non-GAAP EPS of $0.85, beating the $0.79 to $0.81 range. NGS ARR reached $8.1 billion, up 60% year over year, including $1.6 billion from CyberArk and Chronosphere. RPO hit $18.4 billion, up 36%. Both FY26 revenue and EPS guides were raised. Adjusted FCF margin came in at 38.5% TTM, up 430 basis points. The stock jumped 11% immediately after hours, then drifted lower. Pat points to 2,200 platformized customers and 120% net retention as the most important metrics. Dan notes the SaaSpocalypse thesis continues to be wrong. (Bulls and Bears) CrowdStrike Q1 FY27 Earnings and the Proprietary Data Moat Argument: CrowdStrike posted revenue of $1.39 billion with EPS of $1.10 and ARR of $5.51 billion. Net new ARR of $255.8 million set a Q1 record, up 32% year over year. FY27 net new ARR guide was raised by $52 million to a $1.29 billion midpoint, and FY27 revenue was raised to $5.915 to $5.959 billion. A 4-for-1 stock split was announced effective July 2nd. The stock dropped 11% despite the beat after a 64% year-to-date run into earnings. Dan uses the results to make a broader argument against the software disruption thesis, referencing Palantir CEO Alex Karp daring customers to build without him using Anthropic or OpenAI, and Larry Ellison's argument that the real AI value unlock sits in proprietary enterprise data that is not accessible to frontier models. Enterprises with governed, secure, proprietary data will continue to need platforms like CrowdStrike regardless of what frontier models can do. (Bulls and Bears) Six Five Summit is coming. Salesforce CEO Mark Benioff will kick off the event. Register and stay current at sixfivemedia.com/summit. Watch the full video at sixfivemedia.com, and be sure to subscribe to our YouTube channel so you never miss an episode.   The Decode Microsoft Declares Independence — Build 2026 Ships an End-to-End Agentic AI Stack (MAI-Thinking-1 + Scout + Microsoft IQ + Project Solara + Majorana 2) https://www.theverge.com/tech/941738/microsoft-build-2026-biggest-announcements The AI Stack Goes Multi-Silicon — Computex 2026 Confirms a Heterogeneous AI Infrastructure (ARM + Marvell + Intel ASIC + Qualcomm + RTX Spark); WSTS Raises 2026 Semi TAM Forecast 90% to $1.51T https://www.tomshardware.com/tag/computex AI Capex Has Outgrown Cash Flow — Alphabet's $80B Equity Raise Is the Largest in U.S. Corporate History; Berkshire Anchors $10B https://abc.xyz/investor/news/news-details/2026/Alphabet-Announces-Proposed-80-Billion-Equity-Capital-Raise-to-Expand-AI-Infrastructure-and-Compute-2026-b0myAMewCa/default.aspx The Network Becomes the AI Platform — Cisco Live 2026 Launches Silicon One P200, Secure AI Factory (with NVIDIA), AgenticOps, Astrix Security + Galileo https://www.cisco.com/site/us/en/about/whats-new/index.html The Flip Did Microsoft Build 2026 Effectively End the OpenAI Partnership? MAI-Thinking-1 Beats Sonnet 4.6 in Blind Testing, Microsoft Claims GPT-5.5 Parity at 10x Cost Efficiency — Will MS Quietly Wind Down OpenAI Exclusivity by FY28, or Is OpenAI Still the Frontier Anchor Microsoft Needs?   FOR:  MAI-Thinking-1 beating Sonnet 4.6 in blind preference + GPT-5.5 parity at 10x cost efficiency is a frontier-model independence proof point https://www.latent.space/p/ainews-microsoft-build-mai-thinking Build 2026: Accumulating Evidence of Microsoft's AI Independence — EDN (June 4) — https://www.edn.com/build-2026-accumulating-evidence-of-microsofts-ai-independence/ Maia 200 in production + Anthropic-Maia chip talks signal Microsoft is hedging its inference vendor stack https://blogs.microsoft.com/blog/2026/01/26/maia-200-the-ai-accelerator-built-for-inference/ Microsoft canceled Anthropic's internal software licenses + pivoted to chip-supply pursuit — customer-not-competitor positioning https://www.cnbc.com/2026/05/21/anthropic-microsoft-maia-200-ai-chip.html   AGAINST:  Enterprise Copilot customers explicitly demand GPT-5.5 — internal benchmarks don't replace the brand https://learn.microsoft.com/en-us/microsoft-365/copilot/release-notes?tabs=all MAI-Thinking-1 benchmarks haven't been third-party verified — Microsoft is the only source https://www.latent.space/p/ainews-microsoft-build-mai-thinking The MS-OpenAI partnership is contractual through 2030+ — unwinding it is impractical and expensive https://blogs.microsoft.com/blog/2026/04/27/the-next-phase-of-the-microsoft-openai-partnership/ Microsoft's actual strategic risk is OpenAI leaving, not MS leaving — Anthropic + OpenAI IPOs make OpenAI exit risk the real concern https://www.anthropic.com/news/confidential-draft-s1-sec Bulls & Bears Broadcom (AVGO) Q2 FY26 ACTUALS — Rev $22.19B (Narrow Miss) + EPS $2.44 (Beat); AI Semis $10.8B; Hock Tan Refuses to Raise the $100B Full-Year AI Chip Target — Stock −13% Premarket; Q3 Guide $29.4B https://www.cnbc.com/2026/06/03/broadcom-avgo-earnings-report-q2-2026.html Hewlett Packard Enterprise (HPE) Q2 FY26 ACTUALS — Blowout: Rev $10.68B (+40%), EPS $0.79 (+100%); Juniper Integration + AI Servers Both Outperform; FY26 Guides All Raised; Stock +19% AH https://www.businesswire.com/news/home/20260601866494/en/HPE-Reports-Fiscal-2026-Second-Quarter-Results Palo Alto Networks (PANW) Q3 FY26 ACTUALS — Beat-and-Raise: Rev $3.0B (+31% YoY, Beat $2.94B), Non-GAAP EPS $0.85 (Beat $0.79-0.81); NGS ARR $8.1B (+60% YoY, $1.6B from CyberArk + Chronosphere); RPO $18.4B (+36%); FY26 Revenue + EPS Guides BOTH RAISED; Adj FCF Margin 38.5% TTM (+430 bps); Stock +11% Immediate AH, Then Drifted Lower https://www.paloaltonetworks.com/company/press/2026/palo-alto-networks-reports-fiscal-third-quarter-2026-financial-results CrowdStrike narrowly beats estimates on AI tailwinds, but stock falls 9% — CNBC (June 3) — https://www.cnbc.com/2026/06/03/crowdstrike-crwd-q1-2027-earnings.html  

Cisco is bringing AI agents into network operations with Cisco Cloud Control, AI Canvas, and Agentic Ops. In this demo, David Bombal is joined by DJ Sampath (SVP and General Manager, AI Software and Platform) to look at how Cisco is using AI to simplify complex network troubleshooting, infrastructure management, agent security, and observability. Instead of jumping between multiple dashboards, tools, teams, and tickets, Cisco Cloud Control brings network, security, observability, and infrastructure context into one interface. The demo starts with a simple real-world problem: why can't a phone connect to the network? From there, Cisco AI Canvas investigates the topology, calls the right agents, checks the wireless environment, moves into the firewall/security domain, and identifies the root cause: a site-to-site VPN tunnel issue caused by missing OSPF route exchange. You will see how Cisco is using MCP servers, topology agents, troubleshooting agents, firewall agents, and purpose-built models to help network engineers understand what is happening across Meraki, Catalyst, Firepower, Intersight, Splunk, Security, and other Cisco platforms. The video also covers the Unified Cisco Fabric app, which connects campus and data center environments with a firewall in between, plus Cisco's agentic security app for monitoring and controlling AI agents in the enterprise. DJ also shows how Cisco is thinking about token usage, runaway agents, agent observability, Splunk, Galileo, policy enforcement, and secure AI adoption. The interview also covers Cisco's work with OpenAI and Codex, including how frontier models, purpose-built Cisco models, MCP servers, APIs, Cisco data fabric, and real network data are being used to reduce hallucinations and make AI more useful for infrastructure teams. If you are a network engineer, cybersecurity professional, infrastructure engineer, or someone trying to understand how AI will affect networking, this demo shows where things are going. Thank you to ‪@Cisco‬ for sponsoring this video and my trip to Cisco Live! // DJ Sampath's SOCIAL // LinkedIn:  / djsampath X:  https://x.com/djsampath / David's SOCIAL // Discord: discord.com/invite/usKSyzb Twitter: www.twitter.com/davidbombal Instagram: www.instagram.com/davidbombal LinkedIn: www.linkedin.com/in/davidbombal Facebook: www.facebook.com/davidbombal.co TikTok: tiktok.com/@davidbombal YouTube: / @davidbombal Spotify: open.spotify.com/show/3f6k6gE... SoundCloud: / davidbombal Apple Podcast: podcasts.apple.com/us/podcast... // MY STUFF // https://www.amazon.com/shop/davidbombal // SPONSORS // Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com // MENU // 0:00 - Coming up 01:05 - Is AI working? 02:55 - Cisco Cloud Control quick demo 09:38 - Cisco Cloud Control Summary 10:50 - Unified Cisco Fabric demo 12:38 - Agentic Security demo // Securing agents 15:25 - Agent Observability demo // Monitoring tokens 17:38 - Cisco Cloud Control in the real world 18:49 - Summary 19:22 - Cisco Cloud Control AI model explained 20:22 - Addressing hallucinations & false information 22:19 - Conclusion Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel! Disclaimer: This video is for educational purposes only. #cisco #ai #cybersecurity

For twenty years the security playbook started in the same place, find a vulnerability, prioritize it, and patch it. Doug Merritt, CEO of Aviatrix and former CEO of Splunk, thinks that playbook is quietly breaking, and his explanation has nothing to do with anyone being careless. The economics of offense changed underneath us, and most security programs are still funded as if they did not.Why this conversation mattersDoug has sat in two seats that give this argument weight. At Splunk he evangelized detect and respond, and now at Aviatrix he is arguing that detect and respond, while still important, is no longer enough on its own. That is not a vendor pivot so much as an honest reading of the incentives, and it lands differently coming from someone who built a business on the previous era. If you are a practitioner watching AI rewrite the attacker's cost curve, or a leader trying to defend a prevention-heavy budget to a board, this conversation reframes where the money should actually go.Key takeawaysOffense became a compute problem, and that is permanent. Finding and exploiting a vulnerability is a search task, and the cost per token has been deflating faster than Moore's Law. That is why this is a structural shift rather than a few headline demos, and why throwing compute at offense keeps getting cheaper and faster.Patching has a ceiling that offense does not. Every patch carries the risk of breaking something, so testing, deployment, and organizational friction cap how fast defenders can move. When vulnerability discovery scales freely and patching cannot, "find more and patch faster" turns into a race you are structurally set up to lose.The interesting question is not how they got in, it is where they went. Attackers increasingly arrive with valid credentials and move through the trust graph that runs across cloud services and CI/CD pipelines, including malware injected into trusted repositories. Once they look legitimate inside the environment, lateral movement and egress are where the real damage happens.Cloud rewarded velocity, and security paid the bill. Cloud providers made identity default-deny because someone has to own and pay for a workload, but they left networking wide open because their economic engine is developer velocity and security reads as friction. New agentic frameworks inherit that same wide-open default, connected to the internet with little oversight.A strong identity stance is necessary and not sufficient. Identity answers whether someone is allowed to act, not whether the action is an attack, which is why attackers log in rather than hack in. Human, agent, and workload identities are genuinely different, and workload identity in particular has been underserved.Containment is about blast radius, not about keeping everyone out. The mindset shift is to accept that breaches will occur and to govern every path a workload can take, so an incident stays local and recoverable. Done well, containment holds firm whether or not anyone has detected the attack yet.Blast radius has to become a boardroom metric. Doug's argument is that CISOs, CIOs, CEOs, and boards should be able to answer how reachable anything is from anything else, and treat that number as something to drive down deliberately rather than discover after an incident.AI is the reason containment is finally workable. The historic blocker to micro-segmentation was cognitive load across tens or hundreds of thousands of workloads. AI is strong at synthesis and pattern matching, which makes a staged path of observe, discover, monitor, and then enforce realistic, ideally starting with the internet-exposed workloads that have no filtering at all.

Olathe Unified School District: Cisco Helps K-12 Build Secure, Resilient, AI-Ready Infrastructure, Podcast, Umphrey brings a distinctive perspective to the CTO role. Before moving into technology leadership, he was a high school history and government teacher at Olathe East High School, where he also coached football and boys golf By Doug Green “For partners, the message is simple: don't bring a cookie-cutter approach. Understand the district, understand the mission, and tailor the solution.” At Cisco Live, Technology Reseller News spoke with Joshua Umphrey, Chief Technology Officer for Olathe Unified School District in Kansas, about how one of the state's largest school districts is building a secure, resilient and AI-ready digital foundation for K-12 education. Olathe serves nearly 30,000 students across 51 schools. Like many school districts, Olathe faces enterprise-level technology challenges in a public-sector environment: protecting students and staff, keeping systems available, managing limited resources and preparing for emerging demands such as AI in education. Umphrey brings a distinctive perspective to the CTO role. Before moving into technology leadership, he was a high school history and government teacher at Olathe East High School, where he also coached football and boys golf. “Definitely an atypical route,” Umphrey said, reflecting on his move from the classroom into IT leadership. That background still shapes how he views technology. For Umphrey, the network is not simply infrastructure. It is part of the learning environment. Technology has to protect students, support teachers, keep learning moving and help the district plan for what comes next. In the podcast, Umphrey discusses how Olathe is using Cisco networking, security, Splunk, Cisco UCS, Call Manager and Cisco CX offerings to improve visibility, cybersecurity and resilience across the district. The goal is to move from reactive support to a stronger model of operational control, where IT teams have better insight into what is happening across the environment and can respond more effectively. The conversation also turns to what Cisco Partners and technology providers should understand about serving K-12. School districts are not interchangeable. They have different budgets, facilities, staffing models, security needs and educational priorities. For partners, Umphrey's message is clear: K-12 customers need practical, secure and manageable solutions that are aligned with the mission of education. The sale is not simply about products. It is about helping schools protect learning time, reduce risk and build a technology foundation that can support students, teachers and staff over the long term. Learn more about Cisco education solutions at cisco.com.

Cisco Splunk: Agentic Observability, Token Economics and the Smaller War Room, Podcast, Cisco and Splunk are focused: helping customers bring the right information together, with the right context, so AI can be useful rather than overwhelming By Doug Green “The real opportunity is helping customers pull together all the different sources of data into an environment where they can understand when they need to pay attention, how to find and fix problems, and how to layer AI on top of that.” In this Technology Reseller News podcast, recorded at Cisco Live, I spoke with Patrick Lin of Cisco Splunk about the changing role of observability in a hybrid, AI-driven IT environment — and why the conversation now also includes token economics. As AI becomes part of everyday IT operations, enterprises are beginning to ask a new economic question: how much does it cost to reason over all this data? In an AI-native environment, every log, metric, trace, network signal and security event may become part of a larger decision-making process. That creates value, but it also creates cost. Token economics becomes part of the observability discussion because customers need to know what data matters, when to use AI, and how to get better answers without flooding systems with unnecessary context. That is where Cisco and Splunk are focused: helping customers bring the right information together, with the right context, so AI can be useful rather than overwhelming. Lin described how Cisco and Splunk are connecting observability, networking intelligence and AI-native workflows to help teams see across complex environments. A key example is the integration between ThousandEyes and Splunk Observability Cloud, giving teams the ability to understand whether a problem is happening in the application or in the network — and, if it is in the network, whether the issue is in the part of the network they own or the part they do not. That distinction matters. In hybrid environments, responsibility is often shared across enterprise infrastructure, cloud platforms, service providers, SaaS applications and third-party systems. Knowing where the problem lives can dramatically reduce the time teams spend in war rooms trying to determine what went wrong. Lin also pointed to Cisco Cloud Control and AI Canvas as part of a broader AI-native approach. Rather than forcing users to jump across separate tools and interfaces, Cisco is working toward a model where information from Splunk, Cisco platforms and the wider ecosystem can be brought into a collaborative environment. That includes human teammates as well as agentic assistants that can help teams reason across data, identify patterns and accelerate troubleshooting. For channel partners, Lin said the opportunity is significant. Customers need help bringing together data sources, building the right observability foundation and applying AI in practical ways. Partners can play a key role in making agentic observability real for customers by helping them move from disconnected monitoring tools to a more unified, intelligent operating model. The goal, Lin said, is not just more data. It is a “much, much smaller war room” when incidents happen. For Cisco Partners, that message is timely. As customers modernize applications, adopt AI, expand hybrid environments and depend on increasingly distributed infrastructure, observability becomes more than an IT operations tool. It becomes a business resilience capability. Learn more about Cisco Splunk at: https://www.splunk.com/ Learn more about Cisco at: https://www.cisco.com/

Plant a Simple Seed and Watch Your Mindset Grow with Katie Wood  What if the smallest shift in perspective could change the entire trajectory of your life? In this powerful and heartfelt episode, Carrie sits down with thought leader, educator, and bestselling author of Simple Seed, Katie Wood—fresh off her recent appearance on the Today Show—for a conversation that will stay with you long after it ends. Get ready for goosebumps as Katie shares deeply personal stories that reveal how life's hardest moments are often the very ones shaping our resilience, character, and grit. From a moving story about her daughter's stitches that beautifully mirrors how we heal and grow, to the transformational journey of a teacher who went from burnout to Teacher of the Year by using the powerful practices inside Katie's journal—this episode is packed with moments that will shift the way you see your own story. Together, Carrie and Katie explore how planting simple, intentional “seeds” of gratitude and perspective can create lasting change—not just for ourselves, but for the next generation. As a former teacher turned mission-driven entrepreneur, Katie is on a path to bring these life-changing tools into schools—teaching what many of us were never taught, but needed most. In this episode, you'll discover: Why your hardest moments may be shaping your greatest strength How a simple shift in perspective can transform your entire story The real impact of gratitude practices—inside classrooms and beyond And don't miss the unforgettable moment at the end—when Katie shares the one sentence from a college basketball coach that completely changed the course of her life. This is more than a conversation—it's a reminder that the story you're telling yourself matters… and you have the power to change it. Tune in this Monday 5/25/26 at 5am & 5pm ET to listen live on the radio https://dreamvisions7radio.com/look-for-the-good/ Hey friends, although this is my last episode airing on Dreamvisions7Radio Network, the podcast is not going anywhere! You can still listen and download your weekly episodes at your favorite podcast platform  AND if you prefer to watch it live, find all the videos here: https://carrierowan.com/look-for-the-good-podcast-carrie-rowan/ Thank you Dreamvisions7Radio for spreading the goodness across the international airwaves! Forever grateful!  xoxo Carrie BIO: Katie Wood is a thought leader, entrepreneur, and author of the bestselling journal A Simple Seed who transitioned from a 10-year career in special education teaching to entrepreneurship in 2014 to help others grow through mindset, leadership, and personal development. She speaks at schools across the country as well as organizations including Athenahealth, Takeda, Splunk, Boston College, and Providence College, and has shared stages with Herm Edwards and Matthew Slater while also being featured on Today and in Entrepreneur Magazine. Her journal, A Simple Seed, became an Amazon bestseller and was recently acquired by Penguin Random House, while Katie continues to inspire audiences through her speaking, writing, and dedication to her family as a mom of four and proud fire-wife. FIND out MORE about A Simple Seed and Katie's powerful work with kids and schools at: www.GrowwiththeGoodness.com Want to find out when the next incredible episode of Look for the Good is dropping? Sign up for the Look for the Good Podcast Chat weekly newsletter to get behind the scenes insights, special tips, and insider only offers. Click HERE to sign up today! Learn More about Carrie here: https://carrierowan.com/

Cisco (CSCO) is rallying on strong AI infrastructure demand, with record order growth and a push toward software and security following its Splunk deal. Melissa Otto and Alexis Browne Roberts break down the shift, as some investors take profits on rich valuations while the networking layer gains importance in the AI trade.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Hey CX Nation,In this week's episode of The CXChronicles Podcast #281, we welcomed Carl Lenocker, Senior Customer Success Executive at Splunk, based in San Francisco, CA. He is also the Chief Unicorn at Rockstar Unicorn Consulting. Carl has an interesting story as he's a a top-1% Customer Success Executive ($50M ARR) who built a career by owning relationships, telling the truth early, and tying outcomes to dollars—not dashboards.He's also the author of Success Plan for Life, where he breaks down how the same principles used to protect multi-million-dollar enterprise accounts can be applied to career, wealth, love and long-term leverage.In this episode, Carl and Adrian chat through the Four CX Pillars: Team, Tools, Process & Feedback. Plus share some of the ideas that his team think through on a daily basis to build world class customer experiences.**Episode #281 Highlight Reel:**1. What it takes to be a top 1& CSM 2. Bringing CX & customer success into your future investments3. Where are things headed for CS in the next 1,000 days?Click here to learn more about Carl LenockerClick here to learn more about SplunkHuge thanks to Carl for coming on The CXChronicles Podcast and featuring his work and efforts in pushing the customer experience & contact center space into the future. For all of our Apple & Spotify podcast listener friends, make sure you are following CXC & please leave a 5 star review so we can find new members of the "CX Nation". You know what would be even better?Go tell your friends or teammates about CXC's custom content, strategic partner solutions (Hubspot, Intercom, & Freshworks) & On-Demand services & invite them to join the CX Nation, a community of 15K+ customer focused business leaders!Want to see how your customer experience compares to the world's top-performing customer focused companies? Thanks to all of you for being apart of the "CX Nation" and helping customer focused business leaders across the world make happiness a habit!Reach Out To CXC Today!Support the showContact CXChronicles TodayTweet us @cxchroniclesCheck out our Instagram @cxchroniclesClick here to checkout the CXC websiteEmail us at info@cxchronicles.com Remember To Make Happiness A Habit!!

Cisco (CSCO) is leaning into software and security after its Splunk deal, with investors watching its shift beyond hardware. Victoria Fernandez highlights strong AI-driven demand, including hyperscale orders, while flagging potential margin pressure from rising costs. The discussion also points to energy and utilities as key beneficiaries of the broader AI buildout.======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Will You Lead the Agentic Era or Just Watch it Happen? Tomorrow, CIOFEST in London officially kicks off, and it is your final chance to join the most pivotal conversation in digital leadership this year. The "Agentic Era" isn't just another buzzword—it's a fundamental shift in how enterprises operate.

Doug is Chairman, CEO, and President of Aviatrix, which helps companies safely connect and manage their cloud systems, and former CEO of Splunk, which helps organizations understand what is happening across their technology and security environments. We discuss how AI is changing cybersecurity risk, why cyber is a leadership and business issue, and Doug's leadership philosophy for navigating complexity and change.-This podcast/webcast is provided for informational purposes only and should not be considered legal, tax, investment, or business advice. It is not a solicitation, recommendation, or endorsement. All opinions expressed by participants are their own and do not necessarily reflect the views of the Evoke Advisors Division of MAI Capital Management, LLC ("Evoke”), its affiliates, or any companies mentioned. Information shared has not been independently verified by MAI or its affiliates. MAI Capital Management, LLC (“MAI”) is registered with the U.S. Securities and Exchange Commission ("SEC"), which does not imply any particular level of skill or training.Certain information contained herein has been obtained from third party sources and such information has not been independently verified. No representation, warranty, or undertaking, expressed or implied, is given to the accuracy or completeness of such information by any person.While such sources are believed to be reliable, Evoke does not assume any responsibility for the accuracy or completeness of such information. Evoke does not undertake any obligation to update the information contained herein as of any future date.The content is intended for a general audience and does not constitute a recommendation to buy or sell securities or adopt any investment strategy. Any examples or scenarios discussed are illustrative only, involve risks and uncertainties, and do not guarantee future results. Non-traditional assets carry significant risks and may not be suitable for all investors. Decisions should be based on individual objectives, risk tolerance, and circumstances.Statements herein are general and may not reflect an individual's or entity's specific circumstances or applicable laws, which vary by jurisdiction. Further, speakers' views are personal and may differ from Evoke and MAI recommendations and are not specific investment advice; and do not consider client objectives, risk tolerance, and diversification. Guests may have current or past relationships with Evoke and MAI, its affiliates, or the host, including as clients, service providers, or business partners. Participation does not constitute an endorsement or testimonial. No compensation has been paid or received for guest participation unless disclosed. MAI and its affiliates may have business relationships with entities mentioned in this podcast, which could create potential conflicts of interest. These relationships may include advisory services, investment management, or other arrangements. MAI seeks to manage such conflicts consistent with its fiduciary obligations and policies.(As of December 22, 2025)

Welcome to "To the Point Cybersecurity Podcast." This week, hosts Rachael Lyon and Jonathan Knepher dive deep into the evolving challenges of security operations with special guest Monzy Merza, CEO and co-founder of Crogl. With a career spanning government research, security innovation at Splunk, and go-to-market leadership at Databricks, Monzy Merza brings a unique perspective on why the security operations problem remains unsolved and why industry solutions often fall short for SOC teams. In this episode, you'll hear about the realities faced by security analysts: data sprawled across countless tools, rising alert volumes, and unrealistic expectations for operator expertise. Monzy Merza shares his eye-opening experience stepping away from executive roles to work directly on SOC teams, the complexity of today's threat landscape, and how AI is changing—sometimes complicating—the security equation. He also discusses pitfalls of centralizing data, the importance of auditable and transparent AI, and how Crogl strives to capture institutional knowledge and empower security teams. For links and resources discussed in this episode, please visit our show notes at https://www.forcepoint.com/govpodcast/e379

Cybersecurity has entered a new era—and prevention alone is no longer enough. In this episode, Doug Merritt, CEO of Aviatrix and former CEO of Splunk, joins us to break down why security leaders must fundamentally rethink their approach. With decades of experience across Cisco, SAP, and the evolution of modern security operations, Doug brings a sharp, operator-level perspective on what's changing—and what CISOs need to do now.As AI accelerates attacker capabilities and cloud environments introduce unprecedented exposure, the traditional playbook is breaking down. Sophisticated threats are no longer rare—they're scalable, automated, and increasingly successful. Meanwhile, most organizations are still over-investing in vulnerability patching while underestimating the importance of containment.We explore what this shift really means in practice:Why “assume breach” is becoming the only realistic strategyHow AI is democratizing and accelerating cyber attacksThe hidden risks of flat, unsegmented cloud architecturesWhy detection and remediation aren't enough anymoreHow to think about blast radius as a critical new metricUsing powerful analogies—like submarine breach containment—we break down how modern organizations can limit the damage of inevitable attacks and build true cyber resilience.For CISOs and security leaders, this is a conversation about reframing success: not just keeping attackers out, but ensuring that when they get in, the business survives.As featured on Million Podcasts' Best 100 Cybersecurity Podcasts  Top 50 Chief Information Security Officer CISO Podcasts Top 70 Security Hacking PodcastsThis list is the most comprehensive ranking of Cyber Security Podcasts online and we are honoured to feature amongst the best!Follow or subscribe to the show on your preferred podcast platform.Share the show with others in the cybersecurity world.Get in touch via reimaginingcyber@gmail.com

In this episode of the Exceptional Sales Leader Podcast, I am joined by Carl Lenocker, a leading figure in the world of customer success management, to unravel the insights of being among the top 1% of CSMs globally. Carl, known as the Chief Unicorn at Rockstar Unicorn Consulting, brings a wealth of knowledge from his longstanding career in tech companies like Hewlett Packard, Splunk, and Cisco. Listeners are introduced to Carl's innovative approach to customer relationships and learn how his strategies contributed to his success. The conversation delves into Carl’s origins in customer support, his philosophy on maintaining transparent relationships, and how he strategically cultivated his career to manage multi-million dollar accounts. As the discussion unfolds, insights on the essential role of relationships in business success, particularly within the sales and customer success industries, are explored. Carl shares his journey from humble beginnings and outlines how he built a network that propelled him to the forefront of his field. We delve into the changing landscape of customer success, especially in an era where AI and automation are becoming increasingly prevalent. Carl emphasises the importance of genuine connections and strategic foresight in driving long-term customer success, underscoring his belief in a service-led approach to both pre-and post-sales experiences. Carl’s reflections on sales strategies and outcomes exemplify how successful executives must harness the art of relationship building and problem-solving as essential tools in their arsenal. To connect with Carl and to learn more about what he does, including grabbing a copy of his book “Success Plan for Life”, go to: LinkedIn – https://www.linkedin.com/in/lenocker/ Book – http://successplanforlife.com

Cisco posts urgent Webex Services warning Splunk issues fixes for Enterprise vulnerability Git identity spoof tricks Claude into approving bad code Get the show notes here: https://cisoseries.com/cybersecurity-news-cisco-webex-warning-splunks-enterprise-fix-git-spoof-tricks-claude/ Huge thanks to our sponsor, Conveyor Happy Friday. Hope there isn't a fresh security questionnaire sitting in your inbox right now. If there is, here's something worth knowing.  The teams that have fully automated their customer security reviews didn't just get a better trust center. They switched to an AI platform built for the whole workflow. Conveyor handles trust center, questionnaire automation, and self-serve for sales, all in one place, with AI keeping the knowledge base current so answers are always accurate. Learn why enterprise SaaS teams choose Conveyor at conveyor.com.

NIST struggles with an NVD backlog. Cisco and Splunk ship critical patches. Researchers flag a systemic flaw in Anthropic's MCP. ShinyHunters leak 13.5 million McGraw Hill accounts. Cargo theft goes cyber. A Tennessee hospital breach hits 337,000 patients. Two Americans are sentenced in a North Korean fake-IT-worker scheme. Our guest is Rob Allen, Chief Product Officer at ThreatLocker, describing security gaps addressed by zero trust. OpenAI lets security teams take off the training wheels.  Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest On today's Industry Voices segment we are joined by Rob Allen, Chief Product Officer at ThreatLocker, security gaps addressed by zero trust. If you enjoyed this conversation check out the full interview here. Selected Reading NIST Drops NVD Enrichment for Pre-March 2026 Vulnerabilities (Infosecurity Magazine) Cisco says critical Webex Services flaw requires customer action (Bleeping Computer) Splunk Enterprise Update Patches Code Execution Vulnerability (SecurityWeek) Systemic Flaw in MCP Protocol Could Expose 150 Million Downloads (Infosecurity Magazine) Data breach at edtech giant McGraw Hill affects 13.5 million accounts (Bleeping Computer) Freight Hacker Wields Code-Signing Service to Evade Defenses (GovInfo Security) Data Breach at Tennessee Hospital Affects 337,000 (SecurityWeek) US nationals behind DPRK IT worker 'laptop farm' sent to prison (Bleeping Computer) OpenAI Launches GPT-5.4 Cyber And It's Built Specifically for Defenders (TechGlow) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

Fresh out of the studio with John Morgan, Senior Vice President and General Manager of Splunk Security at Cisco. The conversation unpacks the AI inflection point reshaping security operations — from the explosion of machine data (set to more than double in three years) to the rise of the agentic SOC, where AI agents handle detection, investigation, and response while humans focus on high-stakes decisions. John breaks down why attackers armed with AI now exploit zero-days in hours instead of weeks, why security must start with observability (including the challenge of "shadow AI"), and how CISOs are evolving from technical gatekeepers into board-level business enablers. His parting message: the entire world is learning AI together — get to it with his perspective on what great looks like for Splunk Security moving forward. "The volume is increasing quite a bit. We expect in the next three years it's gonna double. Attackers do not have a governance of regulatory and compliance restrictions on them. They just go at it and see what works. And so the volume, sophistication, speed of attacks—the only way to defend against it is to automate your responses to it. One thing that folks outside of the industry don't maybe get is just how large the attack surface is. And how hard it is to stop—attackers need to just find one way in, and you're trying to defend all ways in." - John MorganEpisode Highlights:[00:00] Quote of the Day by John Morgan from Splunk Security[00:50] John's path from technologist to cybersecurity leader[01:35] Leading Splunk Security: the mandate and mission[02:20] Why Cisco and Splunk have a disproportionate AI advantage[03:18] It's not the technology — it's the human beings[04:26] Why more data demands better curation and context[05:00] AI as both signal generator and attack surface creator[06:12] Where the bottleneck sits: ingestion, analysis, or response[07:10] Splunk at the intersection of observability and security[08:29] The evolving CISO role: gatekeeper to board-level risk officer[10:22] Defining the agentic SOC and where it's heading[12:00] Alert fatigue and how agentic approaches change the dynamic[13:56] Singapore Airlines: real customer outcomes from AI security[14:47] The AI arms race: who has the structural advantage[16:11] What a mature AI-native security platform looks like[17:19] How AI is changing detection from rules-based to correlation[18:35] Advice to CISOs: observe, trust, automate[19:41] The one question John wishes more CISOs would ask[20:22] The next five years — and why five years is too slow[21:20] ClosingProfile: John Morgan, GM and SVP, Splunk Security, CiscoLinkedIn: https://www.linkedin.com/in/johnmorganinc/Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format. This episode is recorded in Poddster Singapore. Here are the links to watch or listen to our podcast.Analyse Asia Main Site: https://analyse.asiaAnalyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasiaSign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288

What if the biggest mistake you can make as a founder is signing Apple as your first customer?Manish Jindal spent 10 years at Cloudflare as employee #45, helping take the company from $10 million revenue to a $60 billion public company. Manish breaks down the Cloudflare playbook: why they intentionally said “no” to Fortune 500 companies early on to protect their product, and how a single phone call from a CIO birthed their entire enterprise motion.Throughout his career, Manish has joined companies that already showed early product–market fit in large markets, allowing him to spend a decade helping scale them. Now as the President at Arize, he is building the “plumbing” that allows giants like Walmart and Uber to move from building AI agents to real-world production.We discuss why “boring” infrastructure is a more durable bet than flashy AI apps, and why owning the data remains the ultimate competitive edge. Manish also shares insights on building Go-To-Market (GTM) teams in the Cloudflare era and how that strategy has shifted in the AI era.If you are a founder or leader trying to scale a startup, this episode with Manish Jindal is for you.00:00 – Trailer01:00 – How Manish chose companies with early PMF03:45 – Founder's belief is most important04:35 – Entering dev tooling when it wasn't popular08:20 – Never leave a Co. you believe in for wrong reasons09:45 – The “boring” industries that do well in Long run12:40 – It's easy to build an agent, but hard to scale one15:06 – Why infra won't be winner-take-all18:02 – The keepers of data will win20:20 – From million to billion in Cloudflare's journey21:32 – The “holy sh*t” moment happens fast for Cloudflare24:30 – The CIO call that led to Cloudflare's enterprise plan27:04 – $50M and $100M ARR path of Cloudflare28:33 – Build enterprise motion slowly or aggressively?29:51 – Why Cloudflare didn't want Apple as customer32:10 – Early PMF at Splunk, Cloudflare, and Arize35:40 – Choosing only decade-long stints39:01 – Why Manish didn't start his own company43:37 – How GTM has changed in the AI world54:25 – What agents need to work well in production01:00:51 – Which enterprise use cases qualify for AI?01:03:52 – What went wrong with Air Canada Agent?01:04:52 – How customers are discovered01:09:01 – Claude & Cursor are the most powerful agents today01:10:55 – How Manish chooses companies to invest in01:15:15 – Why acquisitions will become the Norm01:18:35 – Technology is not a moat anymore-------------India's talent has built the world's tech—now it's time to lead it.This mission goes beyond startups. It's about shifting the center of gravity in global tech to include the brilliance rising from India.What is Neon Fund?We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that's done it before.Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we're doing it all at Neon.-------------Check us out on:Website: https://neon.fund/Instagram: https://www.instagram.com/theneonshoww/LinkedIn: https://www.linkedin.com/company/beneon/Twitter: https://x.com/TheNeonShowwConnect with Siddhartha on:LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/Twitter: https://x.com/siddharthaa7-------------This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.Send us Fan Mail

Big thanks to Cisco for sponsoring this video and sponsoring my trip to Cisco Live Amsterdam 2026. Join David as he sits down with Cisco's Dave West (SVP, Global Specialists), to unpack the technical reality behind the OneCisco platform. Dive deep into how Cisco is transitioning from traditional networking into a platform-centric powerhouse that seamlessly integrates secure networking, AI, and cybersecurity. This discussion explores the convergence of networking and security through the Splunk acquisition, the infrastructure of AI-ready data centers powered by NVIDIA's Spectrum X and NVLink, and the rollout of agentic operations. Discover how micro-segmentation, Zero Trust access, and hybrid cloud solutions are solving the complexities of modern, distributed workforces. Whether you are managing on-premise infrastructure, hybrid environments, or preparing your network for the AI revolution, this deep dive covers the essential reference architectures and visibility tools you need to secure your enterprise. // Dave West's SOCIAL // LinkedIn: / dave-west1 // David's SOCIAL // Discord: discord.com/invite/usKSyzb Twitter: www.twitter.com/davidbombal Instagram: www.instagram.com/davidbombal LinkedIn: www.linkedin.com/in/davidbombal Facebook: www.facebook.com/davidbombal.co TikTok: tiktok.com/@davidbombal YouTube: / @davidbombal Spotify: open.spotify.com/show/3f6k6gE... SoundCloud: / davidbombal Apple Podcast: podcasts.apple.com/us/podcast... // MY STUFF // https://www.amazon.com/shop/davidbombal // SPONSORS // Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com // MENU // 0:00 - Coming Up 0:14 - Introduction 01:07 - Cisco as a Platform Company 02:26 - Interest in AI 03:14 - Cybersecurity Today 04:18 - What is One Cisco? 08:27 - The Workplaces of Tomorrow 09:58 - Secure Networking as the Foundation 12:38 - The Complexity of Secure Networking 13:46 - A Journey of One Cisco 14:23 - Outro Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel! Disclaimer: This video is for educational purposes only. #cisco #onecisco #ai

Big thanks to Cisco for sponsoring this video and sponsoring my trip to Cisco Live Amsterdam 2026. In this deep dive, Cisco's Head of Corporate Strategy, Nathan Jokel, joins David Bombal to unpack the future of AI data centers and the groundbreaking Cisco and NVIDIA partnership. Discover how 1.6T networking speeds and the new 100T G300 silicon are solving massive infrastructure bottlenecks to keep GPUs running at full capacity. We explore the critical role of network security in the AI era, detailing the Splunk acquisition, HyperShield, and eBPF technology. Plus, get an insider's look at the looming power constraints facing data centers in 2025, and how Cisco is preparing for the future with post-quantum cryptography and distributed quantum networking. // Nathan Jokel's SOCIAL // LinkedIn: / nathanjokel // David's SOCIAL // Discord: discord.com/invite/usKSyzb Twitter: www.twitter.com/davidbombal Instagram: www.instagram.com/davidbombal LinkedIn: www.linkedin.com/in/davidbombal Facebook: www.facebook.com/davidbombal.co TikTok: tiktok.com/@davidbombal YouTube: / @davidbombal Spotify: open.spotify.com/show/3f6k6gE... SoundCloud: / davidbombal Apple Podcast: podcasts.apple.com/us/podcast... // MY STUFF // https://www.amazon.com/shop/davidbombal // SPONSORS // Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com // MENU // 0:00 - Coming Up 01:29 - Intro 02:20 - Demo Overview 03:57 - Demo Begins 09:35 - Adding Guardrails 11:45 - Secure Workloads 14:30 - Segmentation Workflow 18:33 - Overviewing Finance App 21:02 - Encrypted Visibility Engine 24:34 - Firewall Observability and Control 25:44 - Ant's Advice For The Youth 26:40 - How to Learn Hybrid Mesh Firewall 28:16 - Conclusion Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel! Disclaimer: This video is for educational purposes only.

In this episode of Talos Takes, Amy is joined by William Largent (Cisco Talos) and Lou Stella (Splunk) for a "double-header" discussion. With the recent release of the Cisco Talos 2025 Year in Review and the Splunk Top 50 Cybersecurity Threats report, we're breaking down the most critical trends that shaped the security landscape last year — all based on Cisco telemetry, Talos' original research, and Talos Incident Response engagements.From the professionalization of ransomware-as-a-service to the persistent challenge of decade-old vulnerabilities, this episode moves beyond the headlines to provide a practical roadmap for defenders. You'll get tips on how to prioritize your defenses and reduce your attack surface for the year ahead.Talos 2025 Year in Review: https://blog.talosintelligence.com/2025yearinreview/Splunk Top 50 Cybersecurity Threats: https://www.splunk.com/en_us/campaigns/top-50-security-threats.html

What does it look like to run the same playbook across five venture funds?That is the bet Ashmeet Sidana has made at Engineering Capital. From Fund One to Fund Five, he has written the first check into founders solving problems with Technical insight.His portfolio includes Rubrik, now a public company, SignalFx which was acquired by Splunk for $1 billion, and CodeRabbit, last valued at $550 million. Ashmeet runs Engineering Capital as a solo GP and the fund has been oversubscribed since Fund One.Ashmeet says that the most common way technical founders fail is by “playing house.” Founders who build beautifully organized systems and clean processes, but don't obsessively seek product market fit. His view is that founders should ruthlessly prioritize finding PMF above everything else.Ashmeet is an investor who has seen enough cycles to know what actually compounds, and is still early-stage enough to care about the details that most people have moved past.00:00 – Trailer01:15 – Where does Engineering Capital place its bets?10:07 – How the VC landscape has evolved11:20 – Are technical founders the norm in AI?16:23 – Why the name Engineering Capital?16:50 – What every VC looks for in a founder21:34 – Why Founders Choose Your Term Sheet26:26 – Rule of 1-2 in-person meetings daily with founders31:42 – Does AI give younger founders an edge?32:59 – Founders must ruthlessly prioritize35:58 – The trap of “playing house”37:40 – PMF can change overnight, Ex: Facebook40:13 – 1 in 10 companies fail due to lack of PMF43:17 – The most valuable skill a founder can have44:19 – Why have a Chief Engineer at a VC firm?45:44 – The job of every CEO is to learn46:09 – Solo founders are much riskier48:15 – An accidental entry into VC49:52 – Solo GP: risks and rewards53:34 – $250M across funds54:43 – Why solo GPs work better in the US58:25 – Where Ashmeet's portfolio companies are located01:00:57 – Be very careful of vanity metrics01:02:15 – Vibe coding will change the face of software01:03:36 – Don't chase trends in how companies are built01:05:58 – $100M ARR is the outcome of a strong package01:06:35 – How affordable is Bay Area for young founders?01:11:32 – AlexNet, not ChatGPT, was the real AI inflection point01:12:57 – US Public Companies Are Down 50% in 40 years-------------India's talent has built the world's tech—now it's time to lead it.This mission goes beyond startups. It's about shifting the center of gravity in global tech to include the brilliance rising from India.What is Neon Fund?We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that's done it before.Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we're doing it all at Neon.-------------Check us out on:Website: https://neon.fund/Instagram: https://www.instagram.com/theneonshoww/LinkedIn: https://www.linkedin.com/company/beneon/Twitter: https://x.com/TheNeonShowwConnect with Siddhartha on:LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/Twitter: https://x.com/siddharthaa7-------------This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.Send us Fan Mail

Michael Fanning, CISO at Splunk, joins The Tech Trek for a grounded conversation on how the security leader role is changing in the AI era. This episode gets into the real tension facing modern CISOs, balancing risk without slowing the business down, hiring for technical depth over narrow credentials, and defining success in a field where perfection is not a realistic metric.This is a practical conversation for security leaders, engineering leaders, founders, and operators trying to make sense of AI adoption inside the enterprise. Mike breaks down why security has to move from fear based messaging to business enablement, why many teams may be overlooking strong security talent hiding in adjacent technical roles, and where AI can either reduce burnout or make it worse.In this episodeWhy the CISO role is becoming more engineering driven and more tightly tied to business outcomesWhere AI creates real leverage for security teams, and where it introduces new operational riskWhy the security talent gap may be as much a hiring mindset problem as a supply problemWhat actually causes burnout in security teams, beyond the usual talking pointsHow to think about success in security when zero incidents is not a serious metricHighlights1:44, The CISO role is shifting from pure protection to business enablement7:11, AI creates leverage for defenders, but it is also accelerating the attacker playbook9:31, The biggest AI security risks, from developer copilots to agent driven decision making14:15, Why security teams need room to experiment with AI or risk falling behind16:58, Only 1 percent of CISOs surveyed prioritized technology to close the skills gap22:16, AI can reduce burnout, but only if it cuts noise instead of creating more of itSecurity is about assessing risk and finding a way to say yes in a way that is responsible.A practical idea worth taking back to your teamLook beyond candidates with formal security titles. Mike makes the case that strong engineers, SREs, and cloud practitioners often already understand the systems, access models, and infrastructure realities that matter most. Security can be taught on top of that foundation.Link to report: https://www.splunk.com/en_us/form/ciso-report.htmlFollow The Tech Trek for more conversations with leaders shaping how technology actually gets built, secured, and scaled.

30 episodes… already?!

Big thanks to Cisco for sponsoring this video and sponsoring my trip to Cisco Live Amsterdam 2026. The AI revolution is putting unprecedented strain on global network architectures. In this exclusive deep dive with networking leaders from Cisco and NTT, we break down the critical infrastructure challenges and hardware innovations shaping 2026. Discover how emerging NeoClouds are competing with traditional hyperscalers to deliver dedicated GPU clusters, and why a single non-blocking network failure can bring an entire AI deployment to a grinding halt. We explore the reality of deploying agentic AI across enterprise networks, the vital role of international data sovereignty, and the extreme power demands driving the shift toward liquid-cooled data centers and innovations like the Cisco Silicon One G300 Chip. We also dive into the future of physical AI at the edge, where robotics and autonomous systems demand ultra-low latency inferencing. For IT professionals and network engineers, the stakes have never been higher. Learn the proven skills you need to stay relevant in 2026, from mastering zero-trust AI network security and observability with Splunk to managing predictive networking autonomously. Finally, get a sneak peek into the spooky future of post-quantum cryptography and what it means for the next generation of cybersecurity. // Gary Middleton's SOCIAL // LinkedIn: / middletongary // Hendrik Blokhuis' SOCIAL // LinkedIn: / hendrik-blokhuis-886a8910 // David's SOCIAL // Discord: discord.com/invite/usKSyzb Twitter: www.twitter.com/davidbombal Instagram: www.instagram.com/davidbombal LinkedIn: www.linkedin.com/in/davidbombal Facebook: www.facebook.com/davidbombal.co TikTok: tiktok.com/@davidbombal YouTube: / @davidbombal Spotify: open.spotify.com/show/3f6k6gE... SoundCloud: / davidbombal Apple Podcast: podcasts.apple.com/us/podcast... // MY STUFF // https://www.amazon.com/shop/davidbombal // SPONSORS // Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com // MENU // 0:00 - Coming Up 0:30 - Introduction 01:48 - NeoClouds and the Importance of Networking 02:52 - Data Sovereignty 04:47 - Challenges faced for Data Centres 07:31 - Electricity and Data Centres 09:18 - Technical Problems and Cisco's Solutions 12:41 - Lack of Skills in the Industry 13:21 - Is it still Worth Getting into Cyber today? 15:44 - Security of AI and Trusting your AI 18:06 - NTT Data and Cisco Partnership 20:01 - Who is Buying and Deploying this New Tech 21:52 - Could Agentic AI help solve Problems 23:46 - Customer Feedback on Agentic AI 24:57 - Physical AI is the Next Step in AI 25:58 - The Future of AI and Networking 28:05 - Post Quantum Cryptography 28:57 - Advice for Young People today 30:17 - Outro Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel! Disclaimer: This video is for educational purposes only. #ntt #agenticai #postquantum

In this exclusive interview, Kamal Hathi reveals how the new Cisco Data Fabric and Splunk Machine GPT are unlocking agentic AI for cybersecurity. Discover the future of SOC analysts and network telemetry in 2026! Big thanks to Cisco for sponsoring this video and sponsoring my trip to Cisco Live Amsterdam 2026. // Kamal Hathi's' SOCIAL // LinkedIn: / kamal-hathi // Website REFERENCE // https://www.splunk.com/ / David's SOCIAL // Discord: discord.com/invite/usKSyzb Twitter: www.twitter.com/davidbombal Instagram: www.instagram.com/davidbombal LinkedIn: www.linkedin.com/in/davidbombal Facebook: www.facebook.com/davidbombal.co TikTok: tiktok.com/@davidbombal YouTube: / @davidbombal Spotify: open.spotify.com/show/3f6k6gE... SoundCloud: / davidbombal Apple Podcast: podcasts.apple.com/us/podcast... // MY STUFF // https://www.amazon.com/shop/davidbombal // SPONSORS // Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com // MENU // 0:00 - Coming up 0:36 - Kamal Hathi introduction and machine gpt update 03:36 - Splunk and machine data 05:47 - Resources to learn Splunk 06:48 - Cisco Time Series Model on Hugging Face 07:50 - Cisco Data Fabric explained 09:37 - Updates in 2026 15:51 - Cisco & Splunk 17:50 - Conclusion Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel! Disclaimer: This video is for educational purposes only. #cisco #splunk #ciscolive

Saurabh Shintre, Founder and CEO of Realm Labs, is on Defender Fridays today to discuss securing AI from within.Saurabh previously led the AI security research at Splunk and Symantec. He has been at the forefront of AI security research for nearly a decade with multiple publications and patents and regularly features on public forums on issues regarding security and AI. Saurabh holds a PhD from Carnegie Mellon. Learn more at https://www.realmlabs.ai/Register for Live SessionsJoin us every Friday at 10:30am PT for live, interactive discussions with industry experts. Whether you're a seasoned professional or just curious about the field, these sessions offer an engaging dialogue between our guests, hosts, and you – our audience.Register here: https://limacharlie.io/defender-fridaysSubscribe to our YouTube channel and hit the notification bell to never miss a live session or catch up on past episodes!Sponsored by LimaCharlieThis episode is brought to you by LimaCharlie, a cloud-native SecOps platform where AI agents operate security infrastructure directly. Founded in 2018, LimaCharlie provides complete API coverage across detection, response, automation, and telemetry, with multi-tenant architecture designed for MSSPs and MDR providers managing thousands of unique client environments.Why LimaCharlie?Transparency: Complete visibility into every action and decision. No black boxes, no vendor lock-in.Scalability: Security operations that scale like infrastructure, not like procurement cycles. Move at cloud speed.Unopinionated Design: Integrate the tools you need, not just those contracts allow. Build security on your terms.Agentic SecOps Workspace (ASW): AI agents that operate alongside your team with observable, auditable actions through the same APIs human analysts use.Security Primitives: Composable building blocks that endure as tools come and go. Build once, evolve continuously.Try the Agentic SecOps Workspace free: https://limacharlie.ioLearn more: https://docs.limacharlie.io/Follow LimaCharlieSign up for free: https://limacharlie.io/LinkedIn: / limacharlieio X: https://x.com/limacharlieioCommunity Discourse: https://community.limacharlie.com/Host: Maxime Lamothe-Brassard - CEO / Co-founder at LimaCharlie

The MSP market is undergoing a critical shift toward risk management as the central value proposition, with operational accountability now defined by the ability to produce defensible documentation and deliver rapid incident response. According to Dave Sobel, MSPs are no longer primarily offering stack management, but are increasingly brokering risk through cyber warranties, insurance underwriting, incident retainers, and AI governance frameworks. Those unable to support their claims with evidence and formal processes risk becoming mere facilitators for third-party terms and losing control over their margins. Recent developments reinforce this shift. A Splunk report finds that nearly all CISOs now view AI governance and risk management as their responsibility, citing threat actor sophistication as a primary driver. AI is assisting with event triage and data correlation, but verification—especially around AI-generated content—is unreliable, with detection tools struggling against advanced fakes. Insurance mechanisms are becoming productized with prioritized incident response, and legal intelligence is being embedded into MSP workflows. Vendors like N-able, Monjur, SentinelOne, and DocuSign are directly integrating financial, legal, and governance functions into their offerings, fundamentally altering client and vendor relationships. Adjacent stories illustrate volatility in traditional safeguards and the operational reality of adaptive threats. CISA leadership changes indicate instability in public response institutions. AI-powered malware exemplifies the challenge: ESET's PromptSpy uses Gemini to continuously adapt its persistence, outpacing static detection models. Insurance underwriters are increasingly demanding machine-verifiable evidence of controls, using detailed questionnaires to distinguish autonomous AI from marketing claims. The risk is no longer just technical; it is structural. For MSPs and IT leaders, operational posture is now shaped by an ecosystem of embedded warranties, legal terms, governance requirements, and adaptive threats. The ability to document, defend, and productize risk controls becomes a baseline for credibility and insurance eligibility. Failure to build evidence pipelines and clarify vendor-imposed liabilities exposes service providers to compounded risk. The practical implication is a necessity for MSPs to treat governance and detection as measurable, documented capabilities—not assumptions or routine paperwork. Three things to know today: 00:00 CISOs Own Governance, Detectors Lag Fakes, Response Gets Contracted — Accountability Follows 03:14 N-able, SentinelOne, DocuSign Move Risk Management Into the Stack — MSP Terms Follow 05:10 CISOs Want Agentic AI, But Insurers and Adaptive Malware Are Forcing the Timeline 07:32 Why Do We Care?  Supported by:  CometBackUpSmall Biz Thoughts Community

Learn Splunk basics with James Hodge in this introductory tutorial. We dive into SPL, analyzing Linux logs, and a powerful AI Canvas demo for network troubleshooting. Big thanks to Cisco for sponsoring this video and sponsoring my trip to Cisco Live Amsterdam 2026. // James Hodge's SOCIAL // LinkedIn: / jameshodge / David's SOCIAL // Discord: discord.com/invite/usKSyzb Twitter: www.twitter.com/davidbombal Instagram: www.instagram.com/davidbombal LinkedIn: www.linkedin.com/in/davidbombal Facebook: www.facebook.com/davidbombal.co TikTok: tiktok.com/@davidbombal YouTube: / @davidbombal Spotify: open.spotify.com/show/3f6k6gE... SoundCloud: / davidbombal Apple Podcast: podcasts.apple.com/us/podcast... // MY STUFF // https://www.amazon.com/shop/davidbombal // SPONSORS // Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com // MENU // 0:00 - Coming up 0:47 - James' background 01:36 - Splunk basics // What is Splunk? 04:17 - Splunk demo 07:35 - How Splunk analyses the data 10:13 - Bringing in raw data 12:22 - Splunk demo continued 21:38 - Dark Mode funny story 22:25 - Splunk demo continued 24:12 - The toilet story 27:56 - Modern Splunk dashboard demo 30:45 - AI Canvas demo 34:53 - Conclusion Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel! Disclaimer: This video is for educational purposes only. #splunk #cisco #ciscolive

Título del Episodio: Cyberseguridad y el Escudo de la Inteligencia Artificial: Aplicaciones RealesDescripción:¿Sabías que las empresas más seguras del mundo detienen miles de ataques por segundo gracias a la inteligencia artificial? En este episodio de [Nombre del Podcast], exploramos cómo la IA se ha convertido en el escudo definitivo contra las amenazas cibernéticas modernas.Desglosamos el tema en cuatro bloques clave:Los cimientos: El rol del Big Data y sus famosas "3 V" (Velocidad, Variedad y Veracidad) como combustible esencial. Descubre herramientas fundamentales como SIEM (con ejemplos de Splunk integrado en plataformas Cisco), EDR para endpoints y SOAR para orquestar respuestas automáticas sin intervención humana constante.El motor de la IA: Profundizamos en la taxonomía: del aprendizaje supervisado (con algoritmos como Random Forest y SVM para clasificar malware conocido) al poderoso aprendizaje no supervisado, que detecta lo desconocido mediante técnicas como K-means, Isolation Forest y UEBA (Análisis de Comportamiento de Usuarios y Entidades).Aplicaciones reales: Cómo la IA protege infraestructuras críticas (energía, agua, transporte) en Sistemas de Control Industrial (ICS), identifica amenazas de día cero, detecta anomalías en tiempo real y actúa como sistema de alerta temprana contra tácticas evasivas que aún no están documentadas.Los peligros ocultos: No todo es perfecto. Cuando la IA se convierte en el objetivo principal, surgen riesgos como ataques adversariales, envenenamiento de datos y manipulación de modelos que pueden engañar incluso a los sistemas más avanzados.Una explicación clara, bloque por bloque, bits a bits, para entender por qué la inteligencia artificial ya no es el futuro de la ciberseguridad... ¡es el presente!Presentado por Mario Meraz.¡No te lo pierdas si quieres estar un paso adelante de los ciberdelincuentes!Duración aproximada: [insertar duración si la tienes]Suscríbete para más episodios sobre tecnología, seguridad y tendencias digitales.#Ciberseguridad #InteligenciaArtificial #BigData #Ciberataques #AprendizajeAutomático #SeguridadInformática

Discord Drops Persona Age Verification, SolarWinds Serv-U Critical RCEs, Splunk Windows Priv Esc, and Smart TV Screenshot Surveillance Lawsuits In this episode of Cybersecurity Today, host Jim Love covers Discord ending its age-verification experiment with Persona after user backlash and researcher findings that Persona's front-end code suggested up to 269 verification checks, including watch list screening and risk scoring, amid already-thin trust following an earlier breach that exposed government ID images. The show also highlights SolarWinds Serv-U 15.5.0.4 patches for four critical (CVSS 9.1) remote code execution vulnerabilities (CVE-2025-40538, CVE-2025-40539, CVE-2025-40540, CVE-2025-40541), noting they require high privileges and that self-hosted Windows/Linux instances must be upgraded, with estimates ranging from under 1,200 to over 12,000 internet-exposed servers. Splunk discloses a high-severity Windows privilege escalation flaw (CVE-2025-2386, CVSS 8.0) caused by incorrect install-directory permissions in versions before 10.0.0.2, 9.4.0.6, 9.3.0.8, and 9.2.10, enabling local users to potentially escalate privileges and tamper with logging. Finally, Texas Attorney General Ken Paxton sues Samsung, Sony, LG, Hisense, and TCL, alleging smart TVs use automated content recognition to capture screen content—potentially up to twice per second—and transmit it without meaningful consent, with implications for both home viewing and confidential business use; the episode emphasizes reviewing and disabling ACR settings and accounting for network-connected screens in security models.  Cybersecurity Today  would like to thank Meter for their support in bringing you this podcast. Meter delivers a complete networking stack, wired, wireless and cellular in one integrated solution that's built for performance and scale.  You can find them at Meter.com/cst 00:00 Sponsor Message Meter 00:20 Discord Age Verification Backlash 01:37 Persona Code Raises Alarms 03:08 SolarWinds Serv-U Critical RCEs 04:51 Splunk Windows Priv Esc 06:18 Smart TV Screenshot Surveillance 08:35 Wrap Up and Sponsor Thanks

Bart Fanelli is the CEO and Co-founder of Skillibrium, an AI-driven revenue operating platform that aligns learning, execution, and coaching to help organizations scale high-performance revenue teams. With more than 25 years of revenue leadership experience, he has played key roles in scaling enterprise software companies, including Splunk, during a period of significant hypergrowth. He has worked with organizations from pre-IPO through post-IPO stages and is the co-author of The Success Cadence. Bart is recognized for building structured coaching frameworks that combine operational discipline with human-centered leadership. In this episode… Scaling high-performance revenue teams while keeping sales, customer success, and leadership aligned is challenging. Fragmented training, slow onboarding, and the Forgetting Curve weaken momentum. How can AI and structured coaching build a unified, continuously improving revenue engine? Bart Fanelli, a revenue operations leader and enterprise sales strategist, faced these challenges while scaling high-growth technology companies. With more than two decades of field and leadership experience, he has built repeatable systems that align sales, customer success, and executives around a shared cadence. Bart champions role-based playbooks and daily reinforcement within real workflows. He focuses on aligning "skill and will." He explains that consistent coaching rhythms and candid conversations drive accountability, adoption, and measurable growth. In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz sits down with Bart Fanelli, CEO and Co-founder at Skillibrium, to discuss scaling revenue teams through AI and operational discipline. Bart shares the Magnificent Nine discovery framework and practical ways to beat the forgetting curve. He also explains how to build a coaching culture that sustains long-term growth.

A big thank you to Cisco for sponsoring this video. Kamal Hathi (GM at Splunk) reveals "Machine GPT" and explains why standard LLMs fail at processing machine data. Learn how Splunk's new open weights model helps you predict outages and secure networks before they happen. // Kamal Hathi's SOCIAL // LinkedIn: / kamal-hathi // Website REFERENCE // https://www.splunk.com/en_us/blog/lea... // David's SOCIAL // Discord: discord.com/invite/usKSyzb Twitter: www.twitter.com/davidbombal Instagram: www.instagram.com/davidbombal LinkedIn: www.linkedin.com/in/davidbombal Facebook: www.facebook.com/davidbombal.co TikTok: tiktok.com/@davidbombal YouTube: / @davidbombal Spotify: open.spotify.com/show/3f6k6gE... SoundCloud: / davidbombal Apple Podcast: podcasts.apple.com/us/podcast... // MY STUFF // https://www.amazon.com/shop/davidbombal // SPONSORS // Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com // MENU // 0:00 - Coming Up 00:48 - Intro 01:53 - How AI is Trained 03:10 - AI and Machine Data 04:02 - What is Machine GPT? 07:00 - How MachineGPT will help People 08:53 - What MachineGPT Could Tell Us 11:46 - MachineGPT Interface and Splunk 16:50 - About the Splunk Platform and Products 17:46 - The Future of AI and Machine Data 18:43 - AI as an Independent Creator 20:16 - AI and Security 21:51 - Outro Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel! Disclaimer: This video is for educational purposes only. #cisco #machinelearning #sponsored

What happens when the security community stops debating whether AI belongs in the SOC and starts figuring out how to make it work? Monzy Merza, Co-Founder and CEO of Crogl, is helping answer that question, both through the autonomous AI SOC agent his company builds and through the inaugural AI SOC Summit, a community event designed to bring practitioners together for honest, no-nonsense conversation about what is real and what is hype in AI-driven security operations.Crogl builds what Merza describes as a "superhero suit" for SOC analysts. The platform investigates every alert in depth, working across multiple data lakes without requiring data normalization, and escalates only the issues that require human judgment. But the conversation here goes beyond any single product. Merza explains that the motivation for creating the AI SOC Summit came directly from community feedback. Security teams across enterprises are trying to determine what to buy, what to build, and how to govern AI in their environments, and they need a transparent, practical space to share those experiences.How are threat actors changing the game with agentic AI? Merza points to two critical shifts. First, adversaries are now conducting campaigns using agentic systems, which means defenders need to operate at the same speed. Second, the barrier to entry for sophisticated attacks has dropped significantly because agentic systems handle much of the technical detail, from crafting convincing phishing emails to automating post-exploitation activity. The implication is clear: security teams that do not adopt AI-driven capabilities risk falling behind attackers who already have.The AI SOC Summit, hosted March 3rd at the Hyatt Regency in Tysons, Virginia, is structured to serve the practitioners who are doing the daily work of security operations. The morning features keynotes from CISOs sharing what is working and what is not, along with perspectives on AI governance and privacy. The afternoon splits into two tracks: talk sessions from startups and established companies, and a five-and-a-half-hour hackathon where attendees get free access to frontier AI models and tools to experiment hands-on with real security data.Who should attend the AI SOC Summit? Merza identifies four key personas. SOC analysts at every tier who are buried in alert triage. Security engineers deploying AI-driven and traditional tools who want to see how other enterprises are rationalizing their investments. Incident responders and threat hunters who need to understand how to track agentic activity rather than just human activity. And builders, the security teams prototyping and testing AI capabilities in-house, who want to learn from what others have tried, what has failed, and what constraints can be overcome.What sets this event apart from the typical conference experience? The AI SOC Summit is intentionally vendor-agnostic. Sponsors range from reseller partners serving government organizations to household names like Splunk and Cribl, but the focus stays on community learning rather than product pitches. Many organizations still restrict employee access to frontier models and agentic systems, and the summit provides a space where attendees can kick the tires on these technologies without worrying about tooling costs or corporate restrictions. The goal is for every participant to leave with something practical they can take back and apply to their work immediately.This is a Brand Spotlight. A Brand Spotlight is a ~15 minute conversation designed to explore the guest, their company, and what makes their approach unique. Learn more: https://www.studioc60.com/creation#spotlightGUESTMonzy Merza, Co-Founder and CEO, Crogl [@monzymerza on X]https://www.linkedin.com/in/monzymerzaRESOURCESCrogl: https://www.crogl.comAI SOC Summit: https://www.aisocsummit.com/Are you interested in telling your story?▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlightKEYWORDSMonzy Merza, Crogl, Sean Martin, brand story, brand marketing, marketing podcast, brand spotlight, AI SOC Summit, AI SOC agent, security operations center, agentic AI, autonomous security, threat detection, SOC analyst, incident response, threat hunting, security engineering, AI governance, cybersecurity community, hackathon, frontier AI models, agentic speed, security automation Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What happens when the security community stops debating whether AI belongs in the SOC and starts figuring out how to make it work? Monzy Merza, Co-Founder and CEO of Crogl, is helping answer that question, both through the autonomous AI SOC agent his company builds and through the inaugural AI SOC Summit, a community event designed to bring practitioners together for honest, no-nonsense conversation about what is real and what is hype in AI-driven security operations.Crogl builds what Merza describes as a "superhero suit" for SOC analysts. The platform investigates every alert in depth, working across multiple data lakes without requiring data normalization, and escalates only the issues that require human judgment. But the conversation here goes beyond any single product. Merza explains that the motivation for creating the AI SOC Summit came directly from community feedback. Security teams across enterprises are trying to determine what to buy, what to build, and how to govern AI in their environments, and they need a transparent, practical space to share those experiences.How are threat actors changing the game with agentic AI? Merza points to two critical shifts. First, adversaries are now conducting campaigns using agentic systems, which means defenders need to operate at the same speed. Second, the barrier to entry for sophisticated attacks has dropped significantly because agentic systems handle much of the technical detail, from crafting convincing phishing emails to automating post-exploitation activity. The implication is clear: security teams that do not adopt AI-driven capabilities risk falling behind attackers who already have.The AI SOC Summit, hosted March 3rd at the Hyatt Regency in Tysons, Virginia, is structured to serve the practitioners who are doing the daily work of security operations. The morning features keynotes from CISOs sharing what is working and what is not, along with perspectives on AI governance and privacy. The afternoon splits into two tracks: talk sessions from startups and established companies, and a five-and-a-half-hour hackathon where attendees get free access to frontier AI models and tools to experiment hands-on with real security data.Who should attend the AI SOC Summit? Merza identifies four key personas. SOC analysts at every tier who are buried in alert triage. Security engineers deploying AI-driven and traditional tools who want to see how other enterprises are rationalizing their investments. Incident responders and threat hunters who need to understand how to track agentic activity rather than just human activity. And builders, the security teams prototyping and testing AI capabilities in-house, who want to learn from what others have tried, what has failed, and what constraints can be overcome.What sets this event apart from the typical conference experience? The AI SOC Summit is intentionally vendor-agnostic. Sponsors range from reseller partners serving government organizations to household names like Splunk and Cribl, but the focus stays on community learning rather than product pitches. Many organizations still restrict employee access to frontier models and agentic systems, and the summit provides a space where attendees can kick the tires on these technologies without worrying about tooling costs or corporate restrictions. The goal is for every participant to leave with something practical they can take back and apply to their work immediately.This is a Brand Spotlight. A Brand Spotlight is a ~15 minute conversation designed to explore the guest, their company, and what makes their approach unique. Learn more: https://www.studioc60.com/creation#spotlightGUESTMonzy Merza, Co-Founder and CEO, Crogl [@monzymerza on X]https://www.linkedin.com/in/monzymerzaRESOURCESCrogl: https://www.crogl.comAI SOC Summit: https://www.aisocsummit.com/Are you interested in telling your story?▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlightKEYWORDSMonzy Merza, Crogl, Sean Martin, brand story, brand marketing, marketing podcast, brand spotlight, AI SOC Summit, AI SOC agent, security operations center, agentic AI, autonomous security, threat detection, SOC analyst, incident response, threat hunting, security engineering, AI governance, cybersecurity community, hackathon, frontier AI models, agentic speed, security automation Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this compelling episode of Start With a Win, Adam Contos sits down with empathy strategist and bestselling author Maria Ross for a conversation that challenges outdated leadership myths and reframes what it truly means to lead in today's world. With sharp insight, real-world perspective, and an energizing presence, Maria invites listeners into a deeper exploration of how modern leaders earn loyalty, navigate tension, and build organizations people actually want to follow. This episode doesn't preach - it provokes, stretches assumptions, and leaves you leaning in for what comes next.Maria Ross is the founder of Red Slice, helping organizations drive growth through empathy-driven leadership, branding, and culture. For nearly 20 years, she has worked with startups, nonprofits, and enterprise brands - including Splunk, GSK, Salesforce, and LogicGate - to sharpen messaging, elevate brands, and build strong cultures, leading clients to acquisitions and IPOs.A sought-after speaker and the author of The Empathy Edge and The Empathy Dilemma, Maria also hosts The Empathy Edge podcast. Her insights have appeared on MSNBC, NPR, Forbes, and Newsweek. She lives in Northern California with her family and a lively mix of pets - and a deep love for British crime dramas and Jeopardy!00:00 Intro02:25 A two-year old gave her the idea!05:03 What is the definition – for business?08:05 What are the five pillars?11:31 Last pillar is not what you think, keep listening….14:55 Powerful, powerful quote, you may need to rewind and really listen!22:01 This is your competitive edge. 27:37 This is the misunderstanding… 28:20 And here it is!32:20 I don't check emails until I complete this.https://www.red-slice.com/https://red-slice.com/podcast/Book:  https://red-slice.com/the-empathy-dilemma-book/https://www.instagram.com/redslicemaria/?hl=enhttps://www.linkedin.com/in/mariajross/https://www.facebook.com/redslicehttps://www.youtube.com/user/mariajross===========================Subscribe and Listen to the Start With a Win Podcast HERE:

Viktor Gamov talks to Dhiraj Suri (Confluent) about his career in systems engineering and stream governance. Dhiraj's first job: software developer at NetApp. His challenge: working at Splunk to stitch together disparate systems into an event-driven provisioning platform.SEASON 2 Hosted by Tim Berglund, Adi Polak and Viktor Gamov Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed Music by Coastal Kites Artwork by Phil Vo

What happens when the systems we rely on every day start producing more signals than humans can realistically process, and how do IT leaders decide what actually matters anymore? In this episode of Tech Talks Daily, I sit down with Garth Fort, Chief Product Officer at LogicMonitor, to unpack why traditional monitoring models are reaching their limits and why AI native observability is starting to feel less like a future idea and more like a present day requirement. Modern enterprise IT now spans legacy data centers, multiple public clouds, and thousands of services layered on top. That complexity has quietly broken many of the tools teams still depend on, leaving operators buried under alerts rather than empowered by insight. Garth brings a rare perspective shaped by senior roles at Microsoft, AWS, and Splunk, along with firsthand experience running observability at hyperscale. We talk about how alert fatigue has become one of the biggest hidden drains on IT teams, including real world examples where organizations were dealing with tens of thousands of alerts every week and still missing the root cause. This is where LogicMonitor's AI agent, Edwin AI, enters the picture, not as a replacement for human judgment, but as a way to correlate noise into something usable and give operators their time and confidence back. A big part of our conversation centers on trust. AI agents behave very differently from deterministic automation, and that difference matters when systems are responsible for critical services like healthcare supply chains, airline operations, or global hospitality platforms. Garth explains why governance, auditability, and role based controls will decide how quickly enterprises allow AI agents to move from advisory roles into more autonomous ones. We also explore why experimentation with AI has become one of the lowest risk moves leaders can make right now, and why the teams who treat learning as a daily habit tend to outperform the rest. We finish by zooming out to the bigger picture, where observability stops being a technical function and starts becoming a way to understand business health itself. From mapping infrastructure to real customer experiences, to reshaping how IT budgets are justified in boardrooms, this conversation offers a grounded look at where enterprise operations are heading next. So, as AI agents become more embedded in the systems that run our businesses, how comfortable are you with handing them the keys, and what would it take for you to truly trust them? Useful Links Connect with Garth Fort Learn more about LogicMonitor Check out the Logic Monitor blog Follow on LinkedIn, X, Facebook, and YouTube. Alcor is the Sponsor of Tech Talks Network

Public sector sales leadership demands clarity in chaos - and this episode shows how ROI in B2B is driven through outcome-based selling, not speed or pressure. Bill Rowan breaks down how modern sales leadership wins complex sales cycles by simplifying strategy and focusing on what truly matters. In this episode, Harry Kendlbacher sits down with Bill Rowan, VP of Public Sector at Splunk, to unpack how sales leaders can bring discipline and focus to some of the most complex sales environments in the world. From public transparency to long buying cycles, Bill shares a leadership framework that turns uncertainty into sustainable performance.

Welcome back to the Ultimate Guide to Partnering® Podcast. AI agents are your next customers. Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX:https://theultimatepartner.com/experience/ https://youtu.be/vEdq8rpBM3I In this data-rich keynote, Jay McBain deconstructs the tectonic shifts reshaping the $5.3 trillion global technology industry, arguing that we are entering a new 20-year cycle where traditional direct sales models are obsolete. McBain explains why 96% of the industry is now surrounded by partners and how successful companies must pivot from “flywheels and theory” to a granular strategy focused on the seven specific partners present in every deal. From the explosion of agentic AI and the $163 billion marketplace revolution to the specific mechanics of multiplier economics, this discussion provides a roadmap for navigating the “decade of the ecosystem” where influence, trust, and integration—not just product—determine winners and losers. Key Takeaways Half of today's Fortune 500 companies will likely vanish in the next 20 years due to the shift toward AI and ecosystem-led models. Every B2B deal now involves an average of seven trusted partners who influence the decision before a vendor even knows a deal exists. Microsoft has outpaced AWS growth for 26 consecutive quarters largely because of a superior partner-led geographic strategy. Marketplaces are projected to grow to $163 billion by 2030, with nearly 60% of deals involving partner funding or private offers. The “Multiplier Effect” is the new ROI, where partners can make up to $8.45 for every dollar of vendor product sold. Future dominance relies on five key pillars: Platform, Service Partnerships, Channel Partnerships, Alliances, and Go-to-Market orchestration. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Keywords: Jay McBain, Canalys, partner ecosystem, channel chief, agentic AI, marketplace growth, multiplier economics, B2B sales trends, tech industry forecast, service partnerships, strategic alliances, Microsoft vs AWS, distribution transformation, managed services growth, SaaS platforms, customer journey mapping, 28 moments of truth, future of reselling, technology spending 2025, ecosystem orchestration, partner multipliers. T Transcript: Jay McBain WORKFILE FOR TRANSCRIPT [00:00:00] Vince Menzione: Just up from, did you Puerto Rico last night? Puerto Rico, yes. Puerto Rico. He dodged the hurricane. Um, you all know him. Uh, let him introduce himself for those of you who don’t, but just thrilled to have on the stage, again, somebody who knows more about what’s going on in, in the, and has the pulse on this industry probably than just about anybody I know personally. [00:00:21] Vince Menzione: J Jay McBain. Jay, great to see you my friend. Alright, thank you. We have to come all the way. We live, we live uh, about 20 minutes from each other. We have to come all the way to Reston, Virginia to see each other, right? That’s right. Very good. Well, uh, that’s all over to you, sir. Thank you. [00:00:35] Jay McBain: Alright, well thank you so much. [00:00:36] Jay McBain: I went from 85 degrees yesterday to 45 today, but I was able to dodge that, uh, that hurricane, uh, that we kind of had to fly through the northern edge of, uh, wanna talk today about our industry, about the ultimate partner. I’m gonna try to frame up the ultimate partner as I walk through the data and the latest research that, uh, that we’ve been doing in the market. [00:00:56] Jay McBain: But I wanted to start here ’cause our industry moves in 20 year cycles, and if you look at the Fortune 500 and dial back 20 years from today, 52% of them no longer exist. As we step into the next 20 year AI era, half of the companies that we know and love today are not gonna exist. So we look at this, and by the way, if you’re not in the Fortune 500 and you don’t have deep pockets to buy your way outta problems, 71% of tech companies fail over the course of 10 years. [00:01:30] Jay McBain: Those are statistics from the US government. So I start to look at our industry and you know, you may look at the, you know, mainframe era from the sixties and seventies, mini computers, August the 12th, 1981, that first IBM, PC with Microsoft dos, version one, you know, triggered. A new 20 year era of client server. [00:01:51] Jay McBain: It was the time and I worked at IBM for 17 years, but there was a time where Bill Gates flew into Boca Raton, Florida and met with the IBM team and did that, you know, fancy licensing agreement. But after, you know, 20 years of being the most valuable company in the world and 13 years of antitrust and getting broken up, almost like at and TIBM almost didn’t make payroll. [00:02:14] Jay McBain: 13 years after meeting Bill Gates. Yeah, that’s how quickly things change in these eras. In 1999, a small company outta San Francisco called salesforce.com got its start. About 10 years later, Jeff Bezos asked a question in a boardroom, could we rent out our excess capacity and would other companies buy it? [00:02:35] Jay McBain: Which, you know, most people in the room laughed at ’em at the time. But it created a 20 year cloud era when our friends, our neighbors, our family. Saw Chachi PT for the first time in March of 2023. They saw the deep fakes, they saw the poetry, they saw the music. They came to us as tech people and said, did we just light up Skynet? [00:02:58] Jay McBain: And that consumer trend has triggered this next 20 years. I could walk through the richest people in the world through those trends. I could walk through the most valuable companies. It all aligns. ’cause by the way, Apple’s no longer at the top. Nvidia is at the top, Microsoft. Second, things change really quickly. [00:03:17] Jay McBain: So in that course of time, you start to look at our industry and as people are talking about a six and a half or $7 trillion build out of ai, that’s open AI and Microsoft numbers, that is bigger than our industry that’s taken over 50 years to build. This year, we’re gonna finish the year at $5.3 trillion. [00:03:36] Jay McBain: That’s from the smallest flower shop to the biggest bank. Biggest governments that Caresoft would, uh, serve biggest customer in the world is actually the federal government of the us. But you look at this pie chart and you look at the changes that we’re gonna go through over the next 20 years, there’s about a trillion dollars in hardware. [00:03:54] Jay McBain: There’s about a trillion dollars in software. If you look forward through all of the merging trends, quantum computing, humanoid robots, all the things that are coming that dollar to dollar software to hardware will continue to exist all the way through. We see services making up almost two thirds of this pie. [00:04:13] Jay McBain: Yesterday I was in a telco conference with at and t and Verizon and T-Mobile and some of the biggest wireless players and IT services, which happen to be growing faster than products. At the moment, there is more work to be done wrapping around the deal than the actual products that the customer is buying. [00:04:32] Jay McBain: So in an industry that’s growing at 7%. On top of the world economy that’s grown at 2.2. This is the fastest growing industry, and it will be at least for the next 10 years, if not 2070 0.1% of this entire $5 trillion gets transacted through partners. While what we’re talking to today about the ultimate partner, 96% of this industry is surrounded by partners in one way or another. [00:05:01] Jay McBain: They’re there before the deal. They’re there at the deal. They’re there after the deal. Two thirds of our industry is now subscription consumption based. So every 30 days forever, and a customer for life becomes everything. So if every deal in medium, mid-market, and higher has seven partners, according to McKinsey, who are those seven people trying to get into the deal? [00:05:25] Jay McBain: While there’s millions of companies that have come into tech over the last 10 to 20 years. Digital agencies, accountants, legal firms, everybody’s come in. The 250,000 SaaS companies, a million emerging tech companies, there’s a big fight to be one of those seven trusted people at the table. So millions of companies and tens of millions of people our competing for these slots. [00:05:49] Jay McBain: So one of the pieces of research I’m most proud of, uh, in my analyst career is this. And this took over two years to build. It’s a lot of logos. Not this PowerPoint slide, but the actual data. Thousands of people hours. Because guess what? When you look at partners from the top down, the top 1000 partners, by capability and capacity, not by resale. [00:06:15] Jay McBain: It’s not a ranking of CDW and insight and resale numbers. It is the surrounding. Consulting, design, architecture, implementations, integrations, managed services, all the pieces that’s gonna make the next 20 years run. So when you start to look at this, 98% of these companies are private, so very difficult to get to those numbers and, uh, a ton of research and help from AI and other things to get this. [00:06:41] Jay McBain: But this is it. And if you look at this list, there’s a thousand logos out of the million companies. There’s a thousand logos that drive two thirds of all tech services in the world. $1.07 trillion gets delivered by a thousand companies, but here’s where it gets fun. Those companies in the middle, in blue, the 30 of them deliver more tech services than the next 970. [00:07:08] Jay McBain: Combined the 970 combined in white deliver more tech services. Then the next million combined. So if you think we live in an 80 20 rule or maybe a 99, a 95 5 rule, or a 99 1 rule, we actually live in a 99.9 0.1 parallel principle. These companies spread around the world evenly split across the uh, different regions. [00:07:35] Jay McBain: South Africa, Latin America, they’re all over. They split. They split among types. All of the Venn diagram I just showed from GSIs to VARs to MSPs, to agencies and other types of companies. But this is a really rich list and it’s public. So every company in the world now, if you’re looking at Transactable data, if you’re looking at quantifiable data that you can go put your revenue numbers against, it represents 70 to 80% of every company in this room’s Tam. [00:08:08] Jay McBain: In one piece of research. So what do you do below that? How do you cover a million companies that you can’t afford to put a channel account manager? You can’t afford to write programs directly for well after the top down analysis and all the wallet share and you know exactly where the lowest hanging fruit is for most of your tam. [00:08:28] Jay McBain: The available markets. The obtainable markets. You gotta start from the community level grassroots up. So you need to ask the question for the million companies and the maybe a hundred thousand companies out there, partner companies that are surrounding your customer. These are the seven partners that surround your customer. [00:08:48] Jay McBain: What do they read, where do they go, and who do they follow? Interestingly enough, our industry globally equates to only a thousand watering holes, a thousand companies at the top, a thousand places at the bottom. 35% of this audience we’re talking. Millions of people here love events and there’s 352 of them like this one that they love to go to. [00:09:13] Jay McBain: They love the hallway chats, they love the hotel lobby bar, you know, in a time reminded by the pandemic. They love to be in person. It’s the number one way they’re influenced. So if you don’t have a solid event strategy and you don’t have a community team out giving out socks every week, your competitors might beat you. [00:09:31] Jay McBain: 12% of this audience loves podcasts. It’s the Joe Rogan effect of our industry. And while you know, you may not think the 121 podcasts out there are important, well, you’re missing 12% of your audience. It’s over a million people. If you’re not on a weekly podcast in one of these podcasts in the world, there’s still people that read one of the 106 magazines in the world. [00:09:55] Jay McBain: There are people that love peer groups, associations, they wanna be part of this. There’s 15 different ways people are influenced. And a solid grassroots strategy is how you make this happen. In the last 10 years, we’ve created a number of billionaires. Bottom up. They never had to go talk to la large enterprise. [00:10:15] Jay McBain: They never had to go build out a mid-market strategy. They just went and give away socks and new community marketing. And this has created, I could rip through a bunch of names that became unicorns just in the last couple of years, bottoms up. You go back to your board walking into next year, top down, bottom up. [00:10:34] Jay McBain: You’ve covered a hundred percent of your tam, and now you’ve covered it with names, faces, and places. You haven’t covered it with a flywheel or a theory. And for 44 years, we have gone to our board every fourth quarter with flywheels and theory. Trust me, partners are important. The channel is key to us. [00:10:57] Jay McBain: Well, let’s talk at the point of this granularity, and now we’re getting supported by technology 261 entrepreneurs. Many of them in the room actually here that are driving this ability to succeed with seven partners in every deal to exchange data to be able to exchange telemetry of these prospects to be able to see twice or three times in terms of pipeline of your target addressable market. [00:11:26] Jay McBain: All these ai, um, technologies, agentic technologies are coming into this. It’s all about data. It’s all about quantifiable names, faces, and places. Now none of us should be walking around with flywheels, so let’s flip the flywheels. No. Uh, so we also look at, and I sold PCs for 17 years and that was in the high times of 40% margins for partners. [00:11:55] Jay McBain: But one interesting thing when you study the p and l for broad base of partners around the world, it’s changed pretty significantly in this last 20 year era. What the cloud era did is dropped hardware from what used to be 84% plus the break fix and things that wrap around it of the p and l to now 16% of every partner in the world. [00:12:16] Jay McBain: 84% of their p and l is now software and services. And if you look at profitability, it’s worse. It’s actually 87% is profitability wise. They’ve completely shifted in terms of where they go. Now we look at other parts of our market. I could go through every part of the pie of the slide, but we’re watching each of the companies, and if you can see here, this is what we want to talk about in terms of ultimate partner. [00:12:43] Jay McBain: Microsoft has outgrown AWS for 26 straight quarters. They don’t have a better product. They don’t have a better price, they don’t have better promotion. It’s all place. And I’ll explain why you guess here in the light green line. Exactly. The day that Google went a hundred percent all in partner, every deal, even if a deal didn’t have a partner, one of the 4% of deals that didn’t have a partner, they injected a partner. [00:13:09] Jay McBain: You can see on the left side exactly where they did it. They got to the point of a hundred percent partner driven. Rebuilt their programs, rebuilt their marketplace. Their marketplace is actually larger than Microsoft’s, and they grew faster than Microsoft. A couple of those quarters. It is a partner driven future, and now I have Oracle, which I just walked by as I walked from the hotel. [00:13:31] Jay McBain: Oracle with their RPOs will start to join. Maybe the list of three hyperscalers becomes the list of four in future slides, but that’s a growth slide. Market share is different. AWS early and commanding lead. And it plays out, uh, plays out this way. But we’re at an interesting moment and I stood up six years ago talking about the decade of the ecosystem after we went through a decade of sales starting in 1999 when we all thought we were born to be salespeople. [00:14:02] Jay McBain: We managed territories with our gut. The sales tech stack would have it different, that sales was a science, and we ended the decade 2009, looking at sales very differently in 2009. I remember being at cocktail parties where CMOs would be joking around that 50% of their marketing dollars were wasted. They just didn’t know which 50%. [00:14:23] Jay McBain: And I’ll tell you, that was really funny. In 2009 till every 58-year-old CMO got replaced by a 38-year-old growth hacker who walked in with 15,348 SaaS companies in their MarTech and ad tech stack to solve the problem, every nickel of marketing by 2019 was tracked. Marketo, Eloqua, Pardot, HubSpot, driving this industry. [00:14:50] Jay McBain: Now, we stood up and said the 28 moments that come before a sale are pretty much all partner driven. In the best case scenario, a vendor might see four of the moments. They might come to your website, maybe they read an ebook, maybe they have a salesperson or a demo that comes in. That’s four outta 28 moments. [00:15:10] Jay McBain: The other 24 are done by partners. Yeah, in the worst case scenario and the majority scenario, you don’t see any of the moments. All 28 happen and you lose a deal without knowing there ever was a deal. So this is it. We need to partner in these moments and we need to inject partners into sales and marketing, like no time before, and this was the time to do it. [00:15:33] Jay McBain: And we got some feedback in the Salesforce state of sales report, which doesn’t involve any partnerships or, or. Channel Chiefs or anything else. This is 5,500 of the biggest CROs in the world that obviously use Salesforce. 89% of salespeople today use partners every day. For the 11% who don’t, 58% plan two within a year. [00:15:57] Jay McBain: If you add those two numbers together, that’s magically the 96% number. They recognize that every deal has partners in it. In 2024, last year, half of the salespeople in the world, every industry, every country. Miss their numbers. For the minority who made their numbers, 84 point percent pointed to partners as the reason why they made their numbers. [00:16:21] Jay McBain: It was the cheat code for sales, so that modern salesperson that knows how to orchestrate a deal, orchestrate the 28 moments with the seven partners and get to that final spot is the winning formula. HubSpot’s number in separate research was 84% in marketing. So we’re starting to see partners in here. We don’t have to shout from the mountaintops. [00:16:44] Jay McBain: These communities like ultimate Partner are working and we’re getting this to the highest levels in the board. And I’ll say that, you know, when 20 years from now half of the companies we know and love fail after we’re done writing the book and blaming the CEO for inventing the thing that ended up killing them, blaming the board for fiduciary responsibility and letting it happen. [00:17:06] Jay McBain: What are the other chapters of the book? And I think it’s all in one slide. We are in this platform economy and the. [00:17:31] Jay McBain: So your battery’s fine. Check, check, check, check. Alright, I’ll, I’ll just hold this in case, but the companies that execute on all five of these areas, well. Not only today become the trillion dollar valued companies, but they become the companies of tomorrow. These will be the fastest growing companies at every level. [00:17:50] Jay McBain: Not only running a platform business, but participating in other platforms. So this is how it breaks out, and there are people at very senior levels, at very big companies that have this now posted in the office of the CEO winning on integrations is everything. We just went through a demographic shift this year where 51% of our buyers are born after 1982. [00:18:15] Jay McBain: Millennials are the number one buyer of the $5 trillion. Their number one buying criteria is not service. Support your price, your brand reputation, it’s integrations. The buy a product, 80% is good as the next one if it works better in their environment. 79% of us won’t buy a car unless it has CarPlay or Android Auto. [00:18:34] Jay McBain: This is an integration world. The company with the most integrations win. Second, there are seven partners that surround the customer. Highly trusted partners. We’re talking, coaching the customer’s, kids soccer team, having a cottage together up at the lake. You know, best men, bate of honors at weddings type of relationships. [00:18:57] Jay McBain: You can’t maybe have all seven, but how does Microsoft beat AWS? They might have had two, three, or four of them saying nice things about them instead of the competition. Winning in service partnerships and channel partnerships changes by category. If you’re selling MarTech, only 10% of it today is resold, so you build more on service partnerships. [00:19:18] Jay McBain: If you’re in cybersecurity today, 91.6% of it is resold. Transacted through partners. So you build a lot of channel partnerships, plus the service partnerships, whatever the mix is in your category, you have to have two or three of those seven people. Saying nice things about you at every stage of the customer journey. [00:19:38] Jay McBain: Now move over to alliances. We have already built the platforms at the hyperscale level. We’ve built the platforms within SaaS, Salesforce, ServiceNow, Workday, Marketo, NetSuite, HubSpot. Every buyer has a set of platforms that they buy. We’ve now built them in cybersecurity this year out of 6,500 as high as cyber companies, the top five are starting to separate. [00:20:02] Jay McBain: We built it in distribution, which I’ll show in a minute. We’re building it in Telco. This is a platform economy and alliances win and you have alliances with your competitors ’cause you compete in the morning, but you’re best friends by the afternoon. Winning in other platforms is just as important as driving your own. [00:20:20] Jay McBain: And probably the most important part of this is go to market. That sales, that marketing, the 28 moments, the every 30 days forever become all a partner strategy. So there’s still CEOs out there that believe platform is a UI or UX on a bunch of disparate products and things you’ve acquired. There’s still CFOs out there that Think platform is a pricing model, a bundle model of just getting everything under one, you know, subscription price or consumption price. [00:20:51] Jay McBain: And it’s not, platforms are synonymous with partnerships. This is the way forward and there’s no conversation around ai. That doesn’t involve Nvidia over there, an open AI over here and a hyperscaler over there and a SaaS company over here. The seven layer stack wins every single time, and the companies that get this will be the ones that survive this cycle. [00:21:16] Jay McBain: Now, flipping over to marketplaces. So we had written research that, um, about five years ago that marketplaces were going to grow at 82% compounded. Yeah, probably one of the most accurate predictions we ever made, because it happened, we, we predicted that, uh, we were gonna get up to about $85 billion. Well, now we’ve extended that to 2030, so we’re gonna get up to $163 billion, and the thing that we’re watching is in green. [00:21:46] Jay McBain: If 96% of these deals are partner assisted in some way, how is the economics of partnering going to work? We predicted that 50% of deals by 2027. Would be partner funded in some way. Private offers multi-partner offers distributor sellers of record, and now that extends to 59% by 2030, the most senior leader of the biggest marketplace AWS, just said to us they’re gonna probably make these numbers on their own. [00:22:14] Jay McBain: And he asked what their two competitors are doing. So he’s telling us that we under called this. Now when you look at each of the press releases, and this is the AWS Billion Dollar Club. Every one of the companies on the left have issued a press release that they’re in the billion dollar club. Some of them are in the multi-billions, but I want you to double click on this press release. [00:22:35] Jay McBain: I’m quoted in here somewhere, but as CrowdStrike is building the marketplace at 91% compounded, they’re almost doubling their revenue every single year. They’re growing the partner funding, in this case, distributor funding by 3548%. Almost triple digit growth in marketplace is translating into almost quadruple digit growth in funding. [00:23:01] Jay McBain: And you see that over and over again as, as Splunk hit three, uh, billion dollars. The same. Salesforce hit $2 billion on AWS in Ulti, 18 months. They joined in October 20, 23, and 18 months later, they’re already at $2 billion. But now you’re seeing at Salesforce, which by the way. Grew up to $40 billion in revenue direct, almost not a nickel in resell. [00:23:28] Jay McBain: Made it really difficult for VARs and managed service providers to work with Salesforce because they couldn’t understand how to add services to something they didn’t book the revenue for. While $40 billion companies now seeing 70% of their deals come through partners. So this is just the world that we’re in. [00:23:44] Jay McBain: It doesn’t matter who you are and what industry you’re in, this takes place. But now we’re starting to see for the first time. Partners join the billion dollar club. So you wonder about partnering and all this funding and everything that’s working through Now you’re seeing press releases and companies that are redoing their LinkedIn branding about joining this illustrious club without a product to sell and all the services that wrap around it. [00:24:10] Jay McBain: So the opening session on Microsoft was interesting because there’s been a number of changes that Microsoft has done just in the last 30 days. One is they cut distribution by two thirds going from 180 distributors to 62. They cut out any small partner lower than a thousand dollars, and that doesn’t sound like a lot, but that’s over a hundred thousand partners that get deed tightening the long tail. [00:24:38] Jay McBain: They we’re the first to really put a global point system in place three years ago. They went to the new commerce experience. If you remember, all kinds of changes being led by. The biggest company for the channel. And so when we’re studying marketplaces, we’re not just studying the three hyperscalers, we’re studying what TD Cynic is doing with Stream One Ingram’s doing with Advant Advantage Aerosphere. [00:25:01] Jay McBain: Also, we’re watching what PAX eight, who by the way, is the 365 bestseller for Microsoft in the world. They are the cybersecurity leader for Microsoft in the world and the copilot. Leader in the world for Microsoft and Partner of the Year for Microsoft. So we’re watching what the cloud platforms are doing, watching what the Telco are doing, which is 25 cents out of every dollar, if you remember that pie chart, watching what the biggest resellers are converting themselves into. [00:25:30] Jay McBain: Vince just mentioned, you know, SHI in the changes there watching the managed services market and the leaders there, what they’re doing in terms of how this industry’s moving forward. By the way, managed services at $608 billion this year. Is one and a half times larger than the SaaS industry overall. [00:25:48] Jay McBain: It’s also one and a half times larger than all the hyperscalers combined. Oracle, Alibaba, IBM, all the way down. This is a massive market and it makes up 15 to 20 cents of every dollar the customer spend. We’re watching that industry hit a trillion dollars by the end of the decade, and we’re watching 150 different marketplace development platforms, the distribution of our industry, which today is 70.1% indirect. [00:26:13] Jay McBain: We’re starting to see that number, uh, solidify in terms of marketplaces as well. Watching distributors go from that linear warehouse in a bank to this orchestration model, watching some of the biggest players as the world comes around, platforms, it tightens around the place. So Caresoft, uh, from from here is the sixth biggest distributor in the world. [00:26:40] Jay McBain: Just shows you how big the. You know, biggest client in the world is that they serve. But understand that we’re publishing the distributor 500 list, but it’ll be the same thing. That little group in blue in the middle today, you know, drives almost two thirds of the market. So what happens in all this next stage in terms of where the dollars change hands. [00:27:07] Jay McBain: And the economics of partnering themselves are going through the most radical shift that we’ve seen ever. So back to the nineties, and, and for those of you that have been channel chiefs and running programs, we went to work every day. You know, everything’s on fire. We’re trying to check hundred boxes, trying to make our program 10% better than our competitors. [00:27:30] Jay McBain: Hey, we gotta fix our deal registration program today, and our incentives are outta whack or training programs or. You know, not where they need to be. Our certification, you know, this was the life of, uh, of a channel chief. Everybody thought we were just out drinking in the Caribbean with our best partners, but we were under the weight of this. [00:27:49] Jay McBain: But something interesting has happened is that we turned around and put the customer at the middle of our programs to say that those 28 moments in green before the sale are really, really important. And the seven partners who participate are really important. Understanding. The customer’s gonna buy a seven layer stack. [00:28:09] Jay McBain: They’re gonna buy it With these seven partners, the procurement stage is much different. The growth of marketplaces, the growth of direct in some of these areas, and then long term every 30 days forever in a managed service, implementations, integrations, how you upsell, cross-sell, enrich a deal changes. So how would you build a program that’s wrapped around the customer instead of the vendor? [00:28:35] Jay McBain: And we’re starting to hear our partners shout back to us. These are global surveys, big numbers, but over half of our partners, regardless of type, are selling consulting to their customer. Over half are designing architecting deals. A third of them are trying to be system integrators showing up at those implementation integration moments. [00:28:55] Jay McBain: Two thirds of them are doing managed services, but the shocking one here is 44% of our partners, regardless of type, are coding. They’re building agents and they’re out helping their customer at that level. So this is the modern partner that says, don’t typecast me. You may have thought of me in your program. [00:29:14] Jay McBain: You might have me slotted as a var. Well, I do 3.2 things, and if I don’t get access to those resources, if you don’t walk me to that room, I’m not gonna do them with you. You may have me as a managed service provider that’s only in the morning. By the afternoon I’m coding, and by the next morning I’m implementing and consulting. [00:29:33] Jay McBain: So again, a partner’s not a partner. That Venn diagram is a very loose one now, as every partner on there is doing 3.2 different business models. And again, they’re telling us for 43 years, they said, I want more leads this year it changed. For the first time, I want to be recognized and incentivized as more than just a cash register for you. [00:29:57] Jay McBain: I want you to recognize when I’m consulting, when I’m designing, when you’re winning deals, because of my wonderful services, by the way, we asked the follow up question, well, where should we spend our money with you? And they overwhelmingly say, in the consulting stage, you win and lose deals. Not at moment 28. [00:30:18] Jay McBain: We’re not buying a pack of gum at the gas station. This is a considered purchase. You win deals from moment 12 through 16 and I’m gonna show you a picture of that later, and they say, you better be spending your money there, or you’re not gonna win your fair share or more than your fair share of deals. [00:30:36] Jay McBain: The shocking thing about this is that Microsoft, when they went to the point system, lifted two thirds of all the money, tens of billions of dollars, and put it post-sale, and we were all scratching our heads going. Well, if the partners are asking for it there, and it seems like to beat your biggest competitors, you want to win there. [00:30:54] Jay McBain: Why would you spend the money on renewal? Well, they went to Wall Street and Goldman Sachs and the people who lift trillions of dollars of pension funds and said, if we renew deals at 108%, we become a cash machine for you. And we think that’s more valuable than a company coming out with a new cell phone in September and selling a lot of them by Christmas every year. [00:31:18] Jay McBain: The industry. And by the way, wall Street responded, Microsoft has been more valuable than Apple since. So we talk in this now multiplier language, and these are reports that we write, uh, at AMIA at canals. But talking about the partner opportunity in that customer cycle, the $6 and 40 cents you can make for every dollar of consumption, or the $7 and 5 cents you can make the $8 and 45 cents you can make. [00:31:46] Jay McBain: There’s over 24 companies speaking at this level now, and guess what? It’s not just cloud or software companies. Hardware companies are starting to speak in this language, and on January 25th, Cisco, you know, probably second to Microsoft in terms of trust built with the channel globally is moving to a full point system. [00:32:09] Jay McBain: So these are the changes that happen fast. But your QBR with your partners now less about drinking beers at the hotel lobby bar and talking dollar by dollar where these opportunities are. So if you’re doing 3.2 of these things, let’s build out a, uh, a play where you can make $3 for every dollar that we make. [00:32:28] Jay McBain: And you make that profitably. You make it in sticky, highly retained business, and that’s the model. ’cause if you make $3 for every dollar. We make, you’re gonna win Partner of the year, and if you win partner of the year, that piece of glass that you win on stage, by the time you get back to your table, you’re gonna have three offers to buy your business. [00:32:51] Jay McBain: CDW just bought a w. S’s Partner of the Year. Insight bought Google’s eight time partner of the year. Presidio bought ServiceNow’s, partner of the year over and over and over again. So I’m at Octane, I’m at CrowdStrike, I’m at all these events in Vegas every week. I’m watching these partners of the year. [00:33:05] Jay McBain: And I’m watching as the big resellers. I’m watching as the GSIs and the m and a folks are surrounding their table after, and they’re selling their businesses for SaaS level valuations. Not the one-to-one service valuation. They’re getting multiples because this is the new future of our industry. This is platform economics. [00:33:25] Jay McBain: This is winning and platforms for partners. Now, like Vince, I spent 20 minutes without talking about ai, but we have to talk about ai. So the next 20 years as it plays out is gonna play out in phases. And the first thing you know to get it out of the way. The first two years since that March of 23, has been underwhelming, to say the least. [00:33:47] Jay McBain: It’s been disappointing. All the companies that should have won the biggest in AI have been the most disappointing. It’s underperformed the s and p by a considerable amount in terms of where we are. And it goes back to this. We always overestimate the first two years, but we underestimate the first 10. [00:34:07] Jay McBain: If you wanna be the point in time person and go look at that 1983 PC or the 1995 internet or that 2007 iPhone or that whatever point in time you wanna look at, or if you want to talk about hallucinations or where chat chip ET version five is version, as opposed to where it’s going to be as it improves every six months here on in. [00:34:30] Jay McBain: But the fact of the matter is, it’s been a consumer trend. Nvidia got to be the most valuable company in the world. OpenAI was the first company to 2 billion users, uh, in that amount of speed. It’s the fastest growing product ever in history, and it’s been a consumer win this trillions of dollars to get it thrown around in the press releases. [00:34:49] Jay McBain: They’re going out every day, you know, open ai, signing up somebody new or Nvidia, investing in somebody new almost every single day in hundreds of billions of dollars. It is all happening really on the consumer side. So we got a little bit worried and said, is that 96% of surround gonna work in ag agentic ai? [00:35:10] Jay McBain: So we went and asked, and the good news is 88% of end customers are using partners to work through their ag agentic strategy. Even though they’re moving slow, they’re actually using partners. But what’s interesting from a partner perspective, and this is new research that out till 2030. This is the number one services opportunity in the entire tech or telco industry. [00:35:34] Jay McBain: 35.3% compounded growth ending at $267 billion in services. Companies are rebuilding themselves, building out practices, and getting on this train and figuring out which vendors they should hook their caboose to as those trains leave the station. But it kind of plays out like this. So in the next three to five years, we’re in this generative, moving into agentic phase. [00:36:01] Jay McBain: Every partner thinks internally first, the sales and marketing. They’re thinking about their invoicing and billing. They’re thinking about their service tickets. They’re thinking about creating a business that’s 10% better than their competitors, taking that knowledge into their customers and drive in business. [00:36:17] Jay McBain: But we understand that ag agentic AI, as it’s going to play out is not a product. A couple of years ago, we thought maybe a copilot or an agent force or something was going to be the product that everybody needed to buy, and it’s not a product, it’s gonna show up as a feature. So you go back in the history of feature ads and it’s gonna show up in software. [00:36:38] Jay McBain: So if you’re calling in SMB, maybe you’re calling on a restaurant. The restaurant isn’t gonna call OpenAI or call Microsoft or call Nvidia directly. They’re running their restaurant. And they may have chosen a platform like Toast Square, Clover, whatever iPads people are running around with, runs on a platform that does everything in their business, does staffing, does food ordering, works with Uber Eats, does everything end to end? [00:37:08] Jay McBain: They’re gonna wait to one of those platforms, dries out agent AI for them, and can run the restaurant more effectively, less human capital and more consistently, but they wait for the SaaS platform as you get larger. A hundred, 150 people. You have vice presidents. Each of those vice presidents already have a SaaS stack. [00:37:28] Jay McBain: I talked about Salesforce, ServiceNow, Workday, et cetera. They’ve already built that seven layer model and in some cases it’s 70 layers. But the fact is, is they’re gonna wait for those SaaS layers to deliver ag agentic to them. So this is how it’s gonna play out for the next three and a half, three to five years. [00:37:45] Jay McBain: And partners are realizing that many of them were slow to pick up SaaS ’cause they didn’t resell it. Well now to win in this next three to half, three to five years, you’re gonna have to play in this environment. When you start looking out from here, the next generation, you know, kind of five through 15 years gets interesting in more of a physical sense. [00:38:06] Jay McBain: Where I was yesterday talking about every IOT device that now is internet access, starts to get access to large language models. Every little sensor, every camera, everything that’s out there starts to get smart. But there’s a point. The first trillionaire, I believe, will be created here. Elon’s already halfway there. [00:38:24] Jay McBain: Um, but when Bill Gates thought there was gonna be a PC in every home, and IBM thought they were gonna sell 10,000 to hobbyists, that created the richest person in the world for 20 years, there will be a humanoid in every home. There’s gonna be a point in time that you’re out having drinks with your friends, and somebody’s gonna say, the early adopter of your friends is gonna say. [00:38:46] Jay McBain: I haven’t done the dishes in six weeks. I haven’t done the laundry. I haven’t made my bed. I haven’t mowed the lawn. When they say that, you’re gonna say, well, how? And they’re gonna say, well, this year I didn’t buy a new car, but I went to the car dealership and I bought this. So we’re very close to the dexterity needed. [00:39:05] Jay McBain: We’ve got the large language models. Now. The chat, GPT version 10 by then is going to make an insane, and every house is gonna have one of the. [00:39:17] Jay McBain: This is the promise of ai. It’s not humanoid robots, it’s not agents. It’s this. 99% of the world’s business data has not been trained or tuned into models yet. Again, this is the slow moving business. If you want to think about the 99% of business data, every flight we’ve all taken in this room sits on a saber system that was put in place in 1964. [00:39:43] Jay McBain: Every banking transaction, we’ve all made, every withdrawal, every deposit sits on an IBM mainframe put in place in the sixties or seventies. 83% of this data sits in cold storage at the edge. It’s not ready to be moved. It’s not cleansed, it’s not, um, indexed. It’s not in any format or sitting on any infrastructure that a large language model will be able to gobble up the data. [00:40:10] Jay McBain: None of the workflows, none of the programming on top of that data is yet ready. So this is your 10 to 20 year arc of this era that chat bot today when they cancel your flight is cute. It’s empathetic, it feels bad for you, or at least it seems to, but it can’t do anything. It can’t book you the Marriott and get you an Uber and then a 5:00 AM flight the next morning. [00:40:34] Jay McBain: It can’t do any of that. But more importantly, it doesn’t know who you are. I’ve got 53 years of flights under my belt and they, I’m the person that get me within six hours of my kids and get me a one-way Hertz rental. You know, if there’s bad weather in Miami, get me to Tampa, get me a Hertz, I’m driving home, I’m gonna make it home. [00:40:56] Jay McBain: I’m not the 5:00 AM get me a hotel person. They would know that if they picked up the flights that I’ve taken in the past. Each of us are different. When you get access to the business data and you become ag agentic, everything changes. Every industry changes because of this around the customers. When you ask about this 35% growth, working on that data, working in traditional consulting and design and implementation, working in the $7 trillion of infrastructure, storage, compute, networking, that’s gonna be around, this is a massive opportunity. [00:41:30] Jay McBain: Services are gonna continue to outgrow products. Probably for the next five to 10 years because of this, and I’m gonna finish here. So we talked a lot about quantifying names, faces, places, and I think where we failed the most as ultimate partners is underneath the tam, which every one of our CEOs knows to the decimal point underneath the TAM that our board thinks they’re chasing. [00:41:59] Jay McBain: We’ve done a very poor job. Of talking about the available markets and obtainable markets underneath it, we, we’ve shown them theory. We’ve shown them a bunch of, you know, really smart stuff, and PowerPoint slides up the wazoo, but we’ve never quantified it for them. If they wanna win, if they want to get access, if they want to double their pipeline, triple their pipeline, if they wanna start winning more deals, if they wanna win deals that are three times larger, they close two times faster. [00:42:31] Jay McBain: And they renew 15% larger. They have to get into the available and obtainable markets. So just in the last couple weeks I spoke at Cribble, I spoke at Octane, I spoke at CrowdStrike Falcon. All three of those companies at the CEO level, main stage use those exact three numbers, three x, two x, 15%. That’s the language of platforms, and they’re investing millions and millions and millions of dollars on teams. [00:42:59] Jay McBain: To go build out the Sam Andal in name spaces and places. So you’ve heard me talk about these 28 moments a lot. They’re the ones that you spend when you buy a car. Some people spend one moment and they drive to the Cadillac dealership. ’cause Larry’s been, you know, taking care of the family for 50 years. [00:43:18] Jay McBain: Some people spend 50 moments like I do, watching every YouTube video and every, you know, thing on the internet. I clear the internet cover to cover. But the fact is, is every deal averages around these 28 moments. Your customer, there’s 13 members of the buying committee today. There’s seven partners and they’re buying seven things. [00:43:37] Jay McBain: There’s 27 things orchestrating inside these 28 moments. And where and how they all take place is a story of partnering. So a couple of years ago, canals. Latin for channel was acquired by amia, which is a part of Informa Tech Target, which is majority owned by Informa. All that being said, there’s hundreds of magazines that we have. [00:44:00] Jay McBain: There’s hundreds of events that we run. If somebody’s buying cybersecurity, they probably went to Black Hat or they probably went to GI Tech. One of these events we run, or one of the magazines. So we pick up these signals, these buyer intent signals as a company. Why did they wanna, um, buy a, uh, a Canals, which was a, you know, a small analyst firm around channels? [00:44:22] Jay McBain: They understood this as well. The 28 moments look a lot like this when marketers and salespeople are busy filling in the spots of every deal. And by the way, this is a real deal. AstraZeneca came in to spend millions of dollars on ASAP transformation, and you can start to see as the customer got smart. [00:44:45] Jay McBain: The eBooks, they read the podcasts, they listened to the events they went to. You start to see how this played out over the long term. But the thing we’ve never had in our industry is the light blue boxes. This deal was won and lost in December. In this particular case, NTT software won and Yash came in and sold the customer five projects. [00:45:07] Jay McBain: The millions of dollars that were going to be spent were solved here. The design and architecture work was all done here. A couple of ISVs You see in light blue came in right at the end, deal was closed in April. You see the six month cycle. But what if you could fill in every one of the 28 boxes in every single customer prospect that your sales and marketing team have? [00:45:30] Jay McBain: But here’s the brilliance of this. Those light blue boxes didn’t win the deals there. They won the deals months before that. So when NTT and Software one walked into this deal. They probably won the deal back in October and they had to go through the redlining. They had to go through the contracting, they had to go through all the stuff and the Gantt chart to get started. [00:45:54] Jay McBain: But while your CMO is getting all excited about somebody reading an ebook and triggering an MQL that the sales team doesn’t want, ’cause it’s not qualified, it’s not sales qualified, you walk in and say, no, no. This is a multimillion deal, dollar deal. It’s AstraZeneca. I know the five partners that are coming in in December to solidify the seven layers, and you’re walking in at the same time as the CMOs bragging about an ebook. [00:46:21] Jay McBain: This changes everything. If we could get to this level of data about every dollar of our tam, we not only outgrow our competitors, we become the platforms of the next generation. Partnering and ultimate partnering is all here. And this is what we’re doing in this room. This is what we’re doing over these couple of days, and this is what, uh, the mission that Vince is leading. [00:46:43] Jay McBain: Thank you so much. [00:46:47] Vince Menzione: Woo. Day in the house. Good to see you my friend. Good to see you. Oh, we’re gonna spend a couple minutes. Um, I’m put you in the second seat. We’re gonna put, we’re gonna make it sit fireside for a minute. Uh, that was intense. It was pretty incredible actually, Jay. And so I’m, I think I wanna open it up ’cause we only have a few minutes just to, any questions? [00:47:06] Vince Menzione: I’m sure people are just digesting. We already have one up here. See, [00:47:09] Question: Jay knows I’m [00:47:10] Vince Menzione: a question. I love it. We, I don’t think we have any I can grab a mic, a roving mic. I could be a roving mic person. Hold on. We can do this. This is not on. [00:47:25] Vince Menzione: Test, test. Yes it is. Yeah. [00:47:26] Question: Theresa Carriol dared me to ask a question and I say, you don’t have to dare me. You know, I’m going to Anyway. Um, so Jay, of the point of view that with all of the new AI players that strategic alliances is again having a moment, and I was curious your point of view on what you’re seeing around this emergence and trend of strategic alliances and strategic alliance management. [00:47:52] Question: As compared to channel management. And what are you seeing in terms of large vendors like AWS investing in that strategic alliance role versus that channel role training, enablement, measurement, all that good stuff? [00:48:06] Jay McBain: Yeah, it’s, it’s a great question. So when I told the story about toast at the restaurant or Square or Clover, they’re not call, they’re not gonna call open AI or Nvidia themselves either. [00:48:17] Jay McBain: When you look out at the 250,000 ISVs. That make up this AI stack, there is the layers that happen there. So the Alliance with AWS, the alliance they have with Microsoft or Google is going to be how they generate agent AI in their platforms. So when I talk about a seven layer stack, the average deal being seven layers, AI is gonna drive this to nine, and then 11, then probably 13. [00:48:44] Jay McBain: So in terms of how alliances work, I had it up there as one of the five core strategies, and I think it’s pretty even. You can have the best alliances in the world, but if the seven partners trusted by the customer don’t know what that alliance is and the benefits to the customer and never mention it, it’s all for Naugh. [00:49:00] Jay McBain: If you’re go-to market, you’re co-selling, your co-marketing strategies are not built around that alliance. It’s all for naught. If the integration and the co-innovation, the co-development, the all the co-creation work that’s done inside these alliances isn’t translated to customer outcomes, it’s all for naugh. [00:49:17] Jay McBain: These are all five parallel swim lanes. All five are absolutely critically needed. And I think they’re all five pretty equally weighted in terms of needing each other. Yes. To be successful in the era of platforms. Yeah. [00:49:32] Vince Menzione: And the problem is they’re all stove pipe today. If, if at all. Yeah. Maintained, right. [00:49:36] Vince Menzione: Alliances is an example. Channels and other example. They don’t talk to one another. Judge any, we’ve got a mic up here if anybody else has. Yep. We have some questions here, Jacqueline. [00:49:51] Question: So when we’re developing our channel programs, any advice on, you know, what’s the shift that we should make six months from now, a year from now? The historical has been bronze, silver, gold, right? And you’ve got your deal registration, but what’s the future look like? [00:50:05] Jay McBain: Yeah, so I mean, the programs are, are changing to, to the point where the customer should be in the middle and realizing the seven partners you need to win the deal. [00:50:15] Jay McBain: And depending on what category of product you’re in, security, how much you rely on resell, 91.6%. You know, the channel partners are gonna be critical where the customer spends the money. And if you’re adding friction to that process, you’re adding friction in terms of your growth. So you know, if you’re in cybersecurity, you have to have a pretty wide open reseller model. [00:50:39] Jay McBain: You have to have a wide open distribution model, and you have to make sure you’re there at that point of sale. While at the same time, considering the other six partners at moment 12 who are in either saying nice things about you or not, the customer might even be starting with you. ’cause there is actually one thing that I didn’t mention when I showed the 28 moments filled in. [00:51:00] Jay McBain: You’ll notice that the customer went to AWS twice direct. AWS lost the deal. Microsoft won the deal software. One is Microsoft’s biggest reseller in the world. They just acquired crayon. NTT who, who loves both had their Microsoft team go in. [00:51:18] Question: Mm. [00:51:19] Jay McBain: So I think that they went to AWS thinking it was A-W-S-S-A-P, you know, kind of starting this seven layer stack. [00:51:25] Jay McBain: I think they finished those, you know, critical moments in the middle looking at it. And then they went back to AWS kind of going probably WWTF. Yeah. What we thought was happening isn’t actually the outcome that was painted by our most trusted people. So, you know, to answer your question, listen to your partners. [00:51:43] Jay McBain: They want to be recognized for the other things they’re doing. You can’t be spending a hundred percent of the dollars at the point of sale. You gotta have a point of system that recognizes the point of sale, maybe even gold, silver, bronze, but recognizing that you’re paying for these other moments as well. [00:51:57] Jay McBain: Paying for alliances, paying for integrations and everything else, uh, in the cyber stack. And, um, you know, recognizing also the top 1000. So if I took your tam. And I overlaid those thousand logos. I would be walking into 2026 the best I could of showing my company logo by logo, where 80% of our TAM sits as wallet share, not by revenue. [00:52:25] Jay McBain: Remember, a million dollar partner is not a million dollar partner. One of them sells 1.2 million in our category. We should buy them a baseball cap and have ’em sit in the front row of our event. One of them sells $10 million and only sells our stuff if the customer asks. So my company should be looking at that $9 million opportunity and making sure my programs are writing the checks and my coverage. [00:52:48] Jay McBain: My capacity and capability planning is getting obsessed over that $9 million. My farmers can go over there, my hunters can go over here, and I should be submitting a list of a thousand sorted in descending order of opportunity. Of where my company can write program dollars into. [00:53:07] Vince Menzione: Great answer. All right. I, I do wanna be cognizant of time and the, all the other sessions we have. [00:53:14] Vince Menzione: So we’ll just take one other question if there are any here and if not, we’ll let I know. Jay, you’re gonna be mingling around for a little while before your flight. I’m [00:53:21] Jay McBain: here the whole day. [00:53:22] Vince Menzione: You, you’re the whole day. I see that Jay’s here the whole day. So if you have any other questions and, and, uh, sharing the deck is that. [00:53:29] Vince Menzione: Yep. Alright. We have permission to share the deck with the each of you as well. [00:53:34] Jay McBain: Alright, well thank you very much everyone. Jay. Great to have you.

Something New!  For HR teams who discuss this podcast in their team meetings, we've created a discussion starter PDF to help guide your conversation. Download it here https://goodmorninghr.com/EP232 In episode 232, Coffey talks with Margarita Ramos about the importance and future of the employee relations function following the $11.5 million SHRM discrimination verdict. They discuss the SHRM jury verdict and its implications for HR credibility; the role of employee relations at the intersection of compliance and employee experience; proactive versus reactive approaches to workplace conflict; multiple complaint channels and manager escalation obligations; why dismissing concerns as "not illegal" undermines trust; investigation failures highlighted in the SHRM case; investigator neutrality, training, and experience requirements; when and why to use outside investigators or counsel; leadership accountability and the role of the CHRO in employee relations; the three-legged stool of employee relations, HR business partners, and employment counsel; building ER infrastructure with case management systems and data analytics; handling high-performing but high-risk leaders; transparency in employee relations processes; reducing gossip through consistent and fair investigations; and the future of employee relations including responsible use of AI in investigations. Good Morning, HR is brought to you by Imperative—Bulletproof Background Checks. For more information about our commitment to quality and excellent customer service, visit us at https://imperativeinfo.com.  If you are an HRCI or SHRM-certified professional, this episode of Good Morning, HR has been pre-approved for half a recertification credit. To obtain the recertification information for this episode, visit https://goodmorninghr.com.  About our Guest: Margarita Ramos is a highly respected Global Employee Relations executive and employment attorney with more than two decades of experience across technology, SaaS, and financial services. She is trusted by CHROs, HR Business Partners, and C-suite leaders to build scalable ER infrastructures, stabilize organizations through change, and elevate the employee experience through disciplined governance and operational excellence. With a foundation rooted in JD-trained employment law—including roles as In-House Employment Counsel at Merrill Lynch and Principal Corporate Counsel at Microsoft—Margarita developed deep legal expertise in compliance, risk mitigation, and workplace investigations.  She later translated this expertise into senior ER and HR Compliance leadership roles at VMware, Splunk, RBC, and Bank of America, where she supported complex global workforces navigating rapid growth, cultural transformation, and organizational change. Throughout her career, Margarita has been brought in to create structure where ambiguity exists. She has built and led global ER Centers of Excellence, developed investigations and performance-management frameworks, and implemented modern case-management systems such as Workday, HR Acuity, and AI-enabled governance tools. Her approach blends empathy with operational rigor, ensuring ER functions are both employee-centric and aligned with business strategy. A skilled investigator and ER strategist, Margarita advises senior leaders on workplace investigations, conflict resolution, performance management, DEI&B, and global employment compliance. She is known for her ability to translate data, case trends, and cultural signals into actionable insights—leveraging ER metrics, KPIs, and reporting to influence leadership decisions, drive fairness, and strengthen organizational culture. Her data-driven approach enables leaders to make well-informed, consistent decisions that reinforce trust and accountability across the enterprise.  Margarita has also led M&A HR integration efforts at VMware and Splunk, overseeing cultural alignment, workforce assessments, and change-management strategies during periods of significant transformation. Her leadership in these environments reflects her commitment to creating workplaces where clarity, belonging, and operational excellence coexist. Beyond her corporate work, Margarita is deeply committed to developing future talent. She has mentored first-generation college students and contributed to organizations such as Girls Who Code, Year Up, and Hobart & William Smith Colleges. At Microsoft, she provided pro bono support for Kids in Need of Defense (KIND). Outside of work, she enjoys ballroom dancing and cooking. Margarita is passionate about shaping modern, strategic, tech-forward ER functions that support organizational values, reduce risk, build leadership capability, and create an environment where employees can do their best work with trust, fairness, and accountability. Margarita Ramos can be reached athttps://www.linkedin.com/in/margarita-ramos/ About Mike Coffey: Mike Coffey is an entrepreneur, licensed private investigator, business strategist, HR consultant, and registered yoga teacher.In 1999, he founded Imperative, a background investigations and due diligence firm helping risk-averse clients make well-informed decisions about the people they involve in their business.Imperative delivers in-depth employment background investigations, know-your-customer and anti-money laundering compliance, and due diligence investigations to more than 300 risk-averse corporate clients across the US, and, through its PFC Caregiver & Household Screening brand, many more private estates, family offices, and personal service agencies.Imperative has been named a Best Places to Work, the Texas Association of Business' small business of the year, and is accredited by the Professional Background Screening Association. Mike shares his insight from 25+ years of HR-entrepreneurship on the Good Morning, HR podcast, where each week he talks to business leaders about bringing people together to create value for customers, shareholders, and community.Mike has been recognized as an Entrepreneur of Excellence by FW, Inc. and has twice been recognized as the North Texas HR Professional of the Year. Mike serves as a board member of a number of organizations, including the Texas State Council, where he serves Texas' 31 SHRM chapters as State Director-Elect; Workforce Solutions for Tarrant County; the Texas Association of Business; and the Fort Worth Chamber of Commerce, where he is chair of the Talent Committee.Mike is a certified Senior Professional in Human Resources (SPHR) through the HR Certification Institute and a SHRM Senior Certified Professional (SHRM-SCP). He is also a Yoga Alliance registered yoga teacher (RYT-200) and teach...

In this episode, we cover how Resolve AI, founded by former Splunk executives, reached a $1 billion valuation in its Series A round. In this episode, we explain what Resolve AI is building, why investors are moving this aggressively at such an early stage, and what it says about demand for AI-driven enterprise automation.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Send Bidemi a Text Message!In this episode, host Bidemi Ologunde spoke with Bruce Johnson of TekStream Solutions to unpack how the Whole of State initiative—with the Louisiana State University, Splunk, and Amazon Web Services—is turning classrooms into 24/7, student-powered SOCs that launch graduates into mid-level roles. With nearly four decades in IT security, Bruce shares how opening the door to any discipline builds stronger teams and real-world readiness. How do these student SOCs keep organizations safe while students learn? What does a typical shift and escalation look like? Can a philosophy or nursing major really become an analyst? How is success measured—placements, detection speed, or something else? Where does AI help without replacing humans? And what changed as the model expanded to New Jersey Institute of Technology and Louisiana Tech University?Support for The Bid Picture Podcast comes from Black Rifle Coffee Company, a veteran-founded coffee brand roasting premium beans for people who love a strong start to the day. From bold blends to convenient ready-to-drink cans, Black Rifle Coffee keeps you fueled for whatever's ahead. Check them out at blackriflecoffee.com.Support for The Bid Picture Podcast comes from GymShark, performance apparel designed for people who take their training seriously. With gym-ready fits that move with you, GymShark helps you stay focused from warm-up to cooldown. Explore their latest drops at gymshark.com.Support for The Bid Picture Podcast comes from Uncommon Goods, an online marketplace filled with unique, independently made gifts. From clever gadgets to handcrafted home goods, Uncommon Goods helps you find something thoughtful for everyone on your list. Learn more at uncommongoods.com.Support the show

All links and images can be found on CISO Series. This week's episode is hosted by David Spark, producer of CISO Series and Brett Conlon, CISO, American Century Investments. Joining them are Ryan Barras, CISO, Mount Sinai Medical Center. In this episode: Nobody understands what we do Someone else should fix this Make the audience care Speaking CEO Huge thanks to our sponsor, Dropzone AI Dropzone AI autonomously investigates every security alert—no playbooks needed. This AI SOC analyst queries your CrowdStrike, Splunk, threat intel feeds, and 60+ other tools to build complete investigations in 5 minutes. Unlike black-box automation, it shows every query, finding, and decision. See it work yourself—explore the self-guided demo at dropzone.ai.

Jyoti Bansal is the co-founder and CEO of Harness, the software delivery platform used by thousands of engineering teams, and previously founded AppDynamics, which he led from inception to a multibillion-dollar acquisition by Cisco. In this episode, Jyoti unpacks what it really takes to move from mid-market to enterprise, why he thinks in terms of “product-market-sales fit,” and how he structures Harness as a collection of “startups within a startup” to launch multiple “best-of-breed” products. In today's episode, we discuss: Why companies get stuck in the mid-market and struggle to move up into enterprise Why Jyoti deliberately lost Netflix as their customer The difference between product-market-sales fit, and product-market-fit How to build a scalable, capacity-driven go-to-market machine (instead of chasing deals) Diagnosing whether you have a product problem or a distribution problem How to hire and evaluate your first head of sales and top sales leaders Why Jyoti sold AppDynamics three days before IPO The “binary differentiator” rule for launching new products into crowded markets Why Harness runs 16 product lines under one roof Where to find Jyoti: LinkedIn: https://www.linkedin.com/in/jyotibansal/ Twitter/X: https://x.com/jyotibansalsf Where to find Brett: LinkedIn: https://www.linkedin.com/in/brett-berson-9986094/ Twitter/X: https://twitter.com/brettberson Where to find First Round Capital: Website: https://firstround.com/ First Round Review: https://review.firstround.com/ Twitter/X: https://twitter.com/firstround YouTube: https://www.youtube.com/@FirstRoundCapital This podcast on all platforms: https://review.firstround.com/podcast References: Amazon: https://www.amazon.com/ AppDynamics: https://www.appdynamics.com/ Barclays: https://home.barclays/ BIG Labs: https://www.biglabs.com/ Carlos Delatorre: https://www.linkedin.com/in/cadelatorre/ Charles Schwab: https://www.schwab.com/ Cisco: https://www.cisco.com/ Citi: https://www.citi.com/ Cloudability: https://www.apptio.com/products/cloudability/ Datadog: https://www.datadoghq.com/ Dynatrace: https://www.dynatrace.com/ Harness: https://www.harness.io/ Jeff Bezos: https://x.com/JeffBezos Microsoft: https://www.microsoft.com/ Nasdaq: https://www.nasdaq.com/ Netflix: https://www.netflix.com/ New Relic: https://newrelic.com/ Salesforce: https://www.salesforce.com/ Splunk: https://www.splunk.com/ Traceable: https://www.traceable.ai/ Unusual Ventures: https://www.unusual.vc/ VMware: https://www.vmware.com/ Timestamps: (01:48) Why do companies get stuck in the mid-market? (05:09) Designing a product for enterprise and mid-market (07:19) Why Jyoti lost Netflix as a customer - on purpose (10:18) Becoming a scalable GTM organization (12:32) The real signs of product-market fit (14:04) Have you delivered the value? (15:46) How to hire your first sales team (19:59) The four signs of excellent sales leaders (23:16) How to interview a sales leader (27:51) Where Jyoti developed his commercial taste (29:37) Why early founders need to learn sales (32:02) How AppDynamics began (36:36) Why Jyoti sold three days pre-IPO (41:55) What does a healthy board look like? (44:23) How Jyoti perceives competition (46:18) Why you need a binary differentiator (49:53) How to launch multiple products (52:00) “We need to be best of breed” (57:38) Why PMs are like mini-entrepreneurs (1:00:20) The startup within a startup (1:02:45) A culture of continuous improvement

All links and images can be found on CISO Series. This week's episode is hosted by David Spark, producer of CISO Series and Jeff Steadman, deputy CISO, Corning Incorporated. Joining them is Quincey Collins, CSO, Sheppard Mullin. This episode was recorded live at the ISSA LA Summit in Santa Monica, California. In this episode:  The foundational debate Strength over breadth Beyond traditional backgrounds Keeping perspective on risk Huge thanks to our sponsors, Adaptive Security and Dropzone AI AI-powered social engineering threats like deepfake voice calls, GenAI phishing, and vishing attacks are evolving fast. Adaptive helps security leaders get ahead with an AI-native platform that simulates realistic genAI attacks, and delivers expert-vetted security awareness training — all in one unified solution. Learn more at adaptivesecurity.com. Dropzone AI autonomously investigates every security alert—no playbooks needed. This AI SOC analyst queries your CrowdStrike, Splunk, threat intel feeds, and 60+ other tools to build complete investigations in 5 minutes. Unlike black-box automation, it shows every query, finding, and decision. See it work yourself—explore the self-guided demo at dropzone.ai.

How do you secure a world where trusted internal traffic now travels over the public internet? That's the question I put to Doug Merritt, CEO of Aviatrix, in this thought-provoking conversation recorded for Tech Talks Daily. Doug brings decades of experience from his time leading Splunk and other major technology players, and he now finds himself at the forefront of reshaping how enterprises think about cloud security. We discuss why the cybersecurity landscape is more treacherous than ever, especially as AI accelerates both defense and attack capabilities. Doug explains why the old "castle and moat" mindset no longer applies in the age of cloud workloads, where perimeters are atomized and workloads are ephemeral. He outlines how identity, endpoint, and network security form a three-legged stool—yet too many organizations focus on one leg while neglecting the others. Doug also shares why embedding protection directly into the network fabric changes the rules for defending the cloud, and how his team at Aviatrix is helping companies close dangerous visibility gaps. We explore the rise of agentic AI, the growing sophistication of lateral movement attacks, and why even trusted identities can pose risk in distributed environments. As we look to the future, Doug argues that the path forward is clear: build on strong foundations, simplify the noise, and make network visibility a first-class citizen in enterprise defense. What do you think—are most organizations ready to shift from bolted-on tools to truly embedded cloud security? I'd love to hear your thoughts after listening. Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

Johanna Jaakola – Integration Lead, Corporate Development Integration Team, Cisco Tesia Hostetler – Leader, Acquisition Integration Practice, Cisco Johanna Jaakola, Integration Lead on Cisco's Corporate Development Integration Team, and Tesia Hostetler, Leader of Cisco's Acquisition Integration Practice, continue their deep dive into Cisco's integration-led M&A framework. In Part 2, they reveal how integration planning shapes diligence, how value drivers guide surgical execution, and what it takes to coordinate a 180-person M&A community. From day one employee experience to go-to-market complexity and the Splunk mega-deal, this episode delivers practical frameworks for M&A professionals looking to accelerate value creation while protecting what matters most. Things you will learn: Learn how Cisco tests integration strategy during diligence and adjusts execution plans based on findings without losing sight of deal thesis Discover how Cisco structures functional integration leaders, maintains alignment through recurring touchpoints, and tracks everything in a centralized M&A hub Understand how to validate customer stories, align partner ecosystems, and make surgical decisions about when to integrate sales motions versus protecting existing revenue engines _____________________ M&A Doesn't Have to Be So Painful