Podcasts about MCP

Michael Nicosia is the Co-founder and COO of Salt Security, a company that protects APIs from threats using cloud-scale big data, AI, and ML. Under his leadership, Salt has raised $271 million, reached a $1.4 billion valuation, and has become a leader in API security with patented AI technology and Fortune 500/Global 1000 clients. With over 20 years of experience in enterprise software sales and marketing, Michael helped lead Adallom as COO from its founding to its $327 million acquisition by Microsoft. In this episode… APIs power nearly every modern digital service, yet most companies remain unaware of just how vulnerable these connections can be to breaches. With AI agents, MCP protocols, and microservices expanding rapidly, how do you ensure that sensitive data isn't leaking through unseen cracks in your API infrastructure? Michael Nicosia, a serial entrepreneur and technology executive, shares how he took the leap from corporate roles to building a platform that safeguards APIs. He describes starting with only an idea, refining it through Y Combinator, and securing early validation from security leaders. Along the way, Michael emphasizes the importance of focusing on customer outcomes, building the right team, and persevering through uncertainty. His journey shows that protecting digital services isn't just about software — it's about resilience, trust, and staying ahead of attackers. In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz interviews Michael Nicosia, COO and Co-founder of Salt Security, about scaling cybersecurity solutions for the modern digital world. Michael discusses lessons from Y Combinator, navigating the fundraising journey, and securing enterprise clients. He also shares insights on pricing models, hiring top talent, and the role of mentorship in building a lasting company.

I speak with Sagar Batchu about Speakeasy, the platform for crafting API experiences from simple definition files, including exposing them as MCP servers.The AI writing tool with unparalleled story smartsSudowrite is an AI-powered writing assistant that helps you brainstorm, outline, and write your stories. For show notes and an interactive transcript, visit chrischinchilla.com/podcast/To reach out and say hello, visit chrischinchilla.com/contact/To support the show for ad-free listening and extra content, visit chrischinchilla.com/support/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Why You Need Phishing-Resistant Authentication NOW. The recent compromise of a number of high-profile npmjs.com accounts has yet again shown how dangerous a simple phishing email can be. https://isc.sans.edu/diary/Why%20You%20Need%20Phishing%20Resistant%20Authentication%20NOW./32290 S1ngularity/nx Attackers Strike Again A second wave of attacks has hit over a hundred npm-related GitHub repositories. The updated payload implements a worm that propagates itself to other repositories. https://www.aikido.dev/blog/s1ngularity-nx-attackers-strike-again ChatGPT s Calendar Integration Can Be Exploited to Steal Emails ChatGPT s new MCP integration can be used, via prompt injection, to affect software connected to ChatGPT via MCP. https://www.linkedin.com/posts/eito-miyamura-157305121_we-got-chatgpt-to-leak-your-private-email-activity-7372306174253256704-xoX1/

In this episode: Mark has been retro gaming with an Evercade. Martin replaced the official Dropbox client with Maestral. Alan created an MCP server for Grype. You can send your feedback via show@linuxmatters.sh or the Contact Form. If you’d like to hang out with other listeners and share your feedback with the community, you can join: The Linux Matters Chatters on Telegram. The #linux-matters channel on the Late Night Linux Discord server. If you enjoy the show, please consider supporting us using Patreon or PayPal. For $5 a month on Patreon, you can enjoy an ad-free feed of Linux Matters, or for $10, get access to all the Late Night Linux family of podcasts ad-free.

The Blueprint: Unlocking MCPs: Simplifying E-commerce Automation Episode Overview Last week we published a comprehensive article on MCPs for Amazon Sellers. This presents a golden opportunity for Amazon sellers to scale their operations without adding overhead costs, while gaining an edge over competitors.   In today's session, Danny and Oana will explore the practical applications of MCPs across all areas of your business.   Imagine no longer wasting time in comment sections trying to obtain broken N8N Json files that ultimately prove unsuitable for your business.   Imagine logging into Seller Central without the tedious task of downloading countless reports.   Imagine freeing your VAs from hours spent processing data just to make it actionable.   Imagine eliminating the frustrations caused by hallucinations from Genspark, Comet and other agentic browsers.   You don't need to imagine—now it is a reality you control. In this episode of The Blueprint, Danny McMillan and Oana Padurariu dive deep into the concept of Model Context Protocols (MCPs) and how they can streamline processes for Amazon sellers. They discuss practical implementations of MCPs, how to reduce data management headaches, and the potential for increased productivity in e-commerce operations. This episode explores mcps and their role in automation, practical applications of automation in e-commerce with practical insights for immediate implementation.   Key Takeaways MCPs significantly reduce the complexity and time needed for E-commerce automation tasks. Utilizing MCPs can transform how sellers approach data management and reporting, ultimately enhancing productivity. Chapter Markers Time Chapter Description 00:01 Introduction Danny introduces the episode and the main topic of MCPs, a key strategy for sellers. 02:11 Understanding MCPs Discussion on what MCPs are, including a simple definition and their significance in automation. 11:54 Practical Uses of MCPs Danny shares an example of using MCPs to identify and manage hidden fees in ticket sales, highlighting the practical benefits. 27:09 E-mail Automation Insights on how MCPs can be used to automate email responses, including the use of classifier inputs in the email context. 30:16 The Future of MCPs Discussion on the expected rise of MCP adoption and how sellers can benefit from utilizing these tools. Notable Quotes "If I can do it, you can do it—because I'm not a programmer." Resources Mentioned

Want our guide to master AI Agents? Get it here: https://clickhubspot.com/bka Episode 76: What actually makes something a real "AI Agent"—and how close are we to AI handling complex work entirely on its own? Matt Wolfe (https://x.com/mreflow) is joined by Deepak Singh (https://x.com/mndoci), Vice President at AWS and leader of Amazon's Agentic AI infrastructure teams. With over 17 years at Amazon and a PhD in theoretical chemistry, Deepak brings unparalleled insights into the development and future of AI agents, from early neural networks to today's autonomous multi-agent systems. In this episode, the conversation breaks down the hype vs. reality of AI agents. Deepak shares how AWS is pioneering true agentic AI—systems that use LLM-powered reasoning, autonomy, and reflection to tackle everything from Formula One race analytics to massive code migrations and breakthrough drug discovery. You'll also learn how even small businesses can start leveraging agentic tools today, the rise of new agent standards like MCP and A2A, and why skills in articulating and breaking down problems are more valuable than ever for future-proofing your career. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) AI Agents: Transforming Industries (03:58) Generative AI's Everyday Impact (06:39) Generative AI's Creative Potential (12:30) Autonomy in Software Development Agents (14:58) Agentic AI's Evolving Impact (19:26) Iterative Agent Decision-Making (21:53) Agent Core: Future of Agent Identity (23:15) Lower Barriers, Autonomous Agents (28:20) Ensuring Safe and Accurate Outputs (31:42) MCP: Standardizing LLM Tool Access (34:39) Real-World AI Applications for Business (36:50) Efficient Call Response Systems (42:31) Effective Problem Solving with LLMs (43:48) AI Skills Over Programming Language (47:30) AI Agents Revolutionizing Work — Mentions: Deepak Singh: https://www.linkedin.com/in/dsingh/ Amazon Web Services (AWS): https://aws.amazon.com/ Amazon Bedrock: https://aws.amazon.com/bedrock/ Kiro: https://kiro.dev/ Perplexity: https://www.perplexity.ai/ Zapier: https://zapier.com/ Make.com: https://www.make.com/en Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

In this episode: Mark has been retro gaming with an Evercade. Martin replaced the official Dropbox client with Maestral. Alan created an MCP server for Grype.     You can send your feedback via show@linuxmatters.sh or the Contact Form. If you'd like to hang out with other listeners and share your feedback with the community... Read More

Microsoft and OpenAI are kinda breaking up.

We have a special episode of the podcast this week. Today we preview a new podcast from RMW Commerce — actually a Youtube Exclusive, called “Oh Shift! Where SaaS Meets AI”.In this week's episode, I interview the Shailesh Kumar, the SVP Of Engineering at Salesforce Commrece Cloud to talk about the company's approach and pilots in the world of AI and Model Context Protocol or MCP. To be clear, this is not any kind of sponsored interview. It's just an exploration of how the platforms - and I have asked them all to come on the program - are approaching AI and MCP, and what implications it has for brand and merchants.Today's episode is sponsored by Rithum.https://www.rmwcommerce.com/ecommerce-podcast-watsonweeklyThis podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp

Mads is a Principal Product Manager on the Visual Studio team at Microsoft, where he champions developer productivity, performance, and extensibility. With a deep passion for streamlining the development experience, Mads has created dozens of widely used Visual Studio extensions — including Web Essentials, File Nesting, and Markdown Editor v2 — and maintains the Extensibility Essentials toolkit to empower other developers to build better tools. Mads brings over a decade of experience in web development on the Microsoft platform. He is also the founder of SchemaStore.org and a home automation enthusiast. Known for his engaging presentations and hands-on insights, Mads is a frequent speaker at developer conferences worldwide. He lives in the Pacific Northwest and his mission is simple: to make Visual Studio the most delightful development environment on the planet.   Topics of Discussion: [2:38] More about Mads' career journey at Microsoft. [5:14] The new and improved Visual Studio. [7:44] Backwards compatibility is a key feature — .NET solutions will still work across different Visual Studio versions. [8:55] How Microsoft's strategy differentiates between Visual Studio and VS Code. [10:42] Visual Studio is the premier development environment for .NET and C# on Windows, offering the most comprehensive and optimized experience. While VS Code can handle .NET development, it's not as feature-rich or performant as the full Visual Studio. [12:58] Visual Studio has moved to a monthly release cadence to be more competitive with VS Code's frequent updates. [13:48] Deep AI integration in Visual Studio allows for context-aware assistance, including a new profiler agent that can help optimize code performance. [23:53] Compilation performance is improved in Visual Studio 2026. [26:35] The new profiler agent can be invoked through Copilot chat, running benchmarks and suggesting performance improvements scientifically. [30:30] Developers can create custom MCP servers to integrate private systems and databases with AI tools using a project template. [35:39] The AI coding agent in Visual Studio can work autonomously or with developer supervision, creating pull requests or working alongside the developer. [39:11] Visual Studio's Copilot can be used as a companion to bounce ideas off, helping with architectural decisions and new feature explorations.   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Mads Kristensen on LinkedIn @mkristensen on X Mads Kristensen JSON Schema Store Visual Studio   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

Zach is joined by Candi Williams to talk about the MCP virtual mentorship experience and the value of personalized coaching and feedback in the MCP program Show Notes Wavio (https://www.mywavio.com) and The Wavio Pulse Tracker (https://www.modernclassrooms.org/blog/your-new-progress-tracker) Zach's anonymized progress tracker (https://docs.google.com/spreadsheets/d/1rnBNAWyuKMirEbesDdw5kMHDltfkKqA706uzhpNLeRU/edit?usp=sharing) Connect with Candi by email at candi.williams@modernclassrooms.org (mailto:candi.williams@modernclassrooms.org) Contact us, follow us online, and learn more: Email us questions and feedback at: podcast@modernclassrooms.org (mailto:podcast@modernclassrooms.org) Listen to this podcast on Youtube (https://www.youtube.com/playlist?list=PL1SQEZ54ptj1ZQ3bV5tEcULSyPttnifZV) Modern Classrooms: @modernclassproj (https://twitter.com/modernclassproj) on Twitter and facebook.com/modernclassproj (https://www.facebook.com/modernclassproj) Kareem: @kareemfarah23 (https://twitter.com/kareemfarah23) on Twitter Toni Rose: @classroomflex (https://twitter.com/classroomflex) on Twitter and Instagram (https://www.instagram.com/classroomflex/?hl=en) The Modern Classroom Project (https://www.modernclassrooms.org) Modern Classrooms Online Course (https://learn.modernclassrooms.org) Take our free online course, or sign up for our mentorship program to receive personalized guidance from a Modern Classrooms mentor as you implement your own modern classroom! The Modern Classrooms Podcast is edited by Zach Diamond: @zpdiamond (https://twitter.com/zpdiamond) on Twitter and Learning to Teach (https://www.learningtoteach.co/) Special Guest: Candi Williams.

An airhacks.fm conversation with Ingo Kegel (@IngoKegel) about: jprofiler Visual Studio Code integration using Kotlin Multiplatform, migrating Java code to Kotlin common code for cross-platform compatibility, transpiling to JavaScript for Node.js runtime, JClassLib bytecode viewer and manipulation library, Visual Studio Code's Language Server Protocol (LSP), profiling unit tests and performance regression testing, Java Flight Recorder (JFR) for production monitoring with custom business events, cost-driven development in cloud environments, serverless architecture with AWS Lambda and S3, performance optimization with parallelism in single-CPU environments, integrating profiling data with LLMs for automated optimization, MCP servers for AI agent integration, Gradle and Maven build system integration, cooperative window switching between JProfiler and VS Code, memory profiling and thread analysis, comparing streams vs for-loops performance, brokk AI's Swing-based LLM development tool, context-aware performance analysis, automated code optimization with AI agents, business event correlation with low-level JVM metrics, cost estimation based on cloud API calls, quarkus for fast startup times in serverless, performance assertions in System Tests, multi-monitor development workflow support Ingo Kegel on twitter: @IngoKegel

In this ethical lab demo, David Bombal and Kyle Winters connect Claude (LLM) to Metasploit through an MCP (Model Context Protocol) server to automate real attacks. Watch AI perform recon, generate a risk report, and execute VSFTPD backdoor, EternalBlue (SMBv1), and UnrealIRCD—dropping benign files on Linux and Windows with simple prompts. Educational use only on intentionally vulnerable VMs. Do not attack systems you don't own or lack permission to test. What you'll see • How MCP bridges an AI to real tools (Metasploit RPC) • AI-driven scanning + auto security report (services, versions, risks) • Prompted exploits: VSFTPD, EternalBlue, UnrealIRCD • Why this lowers barriers for red teams—and what blue teams should do // Sponsored SEGMENT // Big thanks to Cisco for sponsoring this video. // Kyle Winters SOCIAL // LinkedIn: / kyle-m-winters Cisco Blogs:  https://blogs.cisco.com/author/kylewi... // Websites REFERENCE // MetasploitMCP by GH05TCREW: https://github.com/GH05TCREW/Metasplo... Kareem Iskander's MCP blogs: https://blogs.cisco.com/author/kareem... Cisco U.: https://u.cisco.com?ccid=cisco-u&dtid... // Video REFERENCE // MCP Demo using Pythong: • MCP Demo using Python, AI and a self heali... Brute Force SSH: • Brute Force SSH & Build a Honeypot Now (Hy... Hacking LLMs: • Hacking LLMs Demo and Tutorial (Explore AI... // 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 0:58 - Disclaimer 01:00 - Introducing Metasploit MCP Server (by GH05TCREW) 03:01 - Metasploit MCP Demo 1 05:12 - Metasploit MCP Demo 2 10:59 - Metasploit MCP Demo 3 16:18 - Metasploit MCP Demo 4 19:15 - Metasploit MCP Demo 5 21:45 - How AI is changing cybersecurity 23:07 - Metasploit MCP Demo 5 continued 26:51 - Metasploit MCP server summary 28:00 - 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.

The next generation of analytics is here. In this episode of The Data Chief, ThoughtSpot CEO Ketan Karkhanis explains why AI is the new BI, and the future of analytics is autonomous. Karkhanis shares his vision for the autonomous enterprise, where AI agents act on insights and automate workflows.  He also explains why a culture of trust and experimentation is crucial for unlocking AI's full potential. Don't miss this discussion on how to fundamentally rethink how organizations interact with data to drive better business outcomes and build an autonomous enterprise.Key Moments:AI is the New BI (08:35): Ketan explains that AI represents a “foundational rewiring” of the entire technology stack, a shift he calls Cloud 2.0. He predicts the BI market is on the verge of an “upgrade super cycle,” leaving legacy players behind.AI Becomes the Only UI (20:45): Ketan shares his vision that in the future, AI will become "the only UI you will need". He explains that ThoughtSpot's MCP host can bring together structured data, unstructured data, and world knowledge to provide better context for a user's question.Progress over Perfection (25:56): Leaders are reminded not to let “perfection be the enemy of progress.” For Ketan, a culture of trust and openness to experimentation is more important than having perfectly defined KPIs or flawless dashboards.Training Comes First (29:02): One of the biggest lessons learned was the importance of investing in people before chasing the promise of AI outcomes.  After rolling out mandatory generative AI training, new use cases began emerging organically from across the business—proof that education fuels innovation.Outcomes Over Tech (38:47): Despite mountains of legacy technology, many organizations remain starved for actionable insights. Ketan points to EasyJet as an example of getting it right: rather than focusing on systems and infrastructure, they designed their AI initiative around a tangible outcome—avoiding flight cancellations.The Rise of the Autonomous Enterprise (42:56): The next frontier is the autonomous enterprise, where AI agents don't just surface insights but also act on them. Ketan envisions a future where humans are freed from mundane tasks to focus on higher-value work like relationships and judgment calls.Key Quotes:"AI becomes the only UI you will need." - Ketan Karkhanis"It's not about AI. It's about ROI." - Ketan Karkhanis"This is no longer just about BI. This is about agents that are driving workflows in your organizations." - Ketan KarkhanisMentions:Go Boundaryless Product SpotlightThoughtSpot Agentic MCP Server Lex Fridman PodcastTeam of Rivals: The Political Genius of Abraham LincolnThe Path Between the Seas: The Creation of the Panama CanalGuest Bio: Ketan Karkhanis is the CEO of ThoughtSpot. Prior to joining the company in September 2024, Ketan was the Executive Vice President and General Manager of Sales Cloud at Salesforce. He returned to Salesforce in March 2022 after his time as the COO of Turvo, an emerging supply-chain collaboration platform. Before that, Ketan spent nearly a decade at Salesforce, where he led product areas in Sales, Service Cloud, Lightning Platform, and finally Analytics, wherein as the Senior Vice President & GM of Einstein Analytics, he pioneered incredible innovation, customer success, and business acceleration from launch to over $300M and a 30,000 strong user community. Prior to Salesforce, Ketan was at Cisco Systems where he led various technology initiatives and initiatives spanning Customer Advocacy, Cisco Certifications & eLearning. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Send us a textTim and Chris dive into the month's most significant tech developments, exploring antitrust rulings, emerging AI security threats, and the financial sustainability of the AI industry.• Google avoids having to sell Chrome in federal antitrust ruling but is barred from exclusive distribution contracts• Cybercriminals deploy "S1ngularity Attack" using LLM prompts to steal credentials from 2,100 GitHub accounts• Cisco reintroduces dedicated wireless certification track with focus on Wi-Fi 6/7 and Meraki technologies• Google Cloud introduces "agentic IAM" services to manage AI agent identities and improve MCP security• Zscaler CEO creates controversy by suggesting customer logs are used for AI training before company clarification• Avaya offers voluntary exit packages to all employees, suggesting potential acquisition or restructuring• OpenAI increases projected spending through 2029 by $80 billion to $115 billion totalShare this episode on social media and tell a friend about the podcast if you enjoyed it. You can find us on all platforms @Cables2Clouds.Purchase Chris and Tim's new book on AWS Cloud Networking: https://www.amazon.com/Certified-Advanced-Networking-Certification-certification/dp/1835080839/ Check out the Fortnightly Cloud Networking Newshttps://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/Visit our website and subscribe: https://www.cables2clouds.com/Follow us on BlueSky: https://bsky.app/profile/cables2clouds.comFollow us on YouTube: https://www.youtube.com/@cables2clouds/Follow us on TikTok: https://www.tiktok.com/@cables2cloudsMerch Store: https://store.cables2clouds.com/Join the Discord Study group: https://artofneteng.com/iaatj

“Press 1 is dead. If you haven't integrated AI into your core telephony stack, you're on the path to obsolescence.” — Andy Abramson, Founder & CEO, Comunicano In this conversation with Doug Green, Publisher of Technology Reseller News, Andy Abramson—32 years into leading Comunicano—explains why legacy, menu-tree IVRs are being displaced by SIP-native AI and real-time voice agents. The result: faster resolution, lower latency, and human-like interactions that finally match the urgency of today's callers. What's changing SIP ↔ AI interconnect: Direct SIP trunking into AI (e.g., OpenAI) turns agents into callable endpoints—simplifying deployment much like early CPaaS did. Network path matters: Zero-hop/HD direct connectivity (e.g., CarrierX/Found/freeconferencecall.com) and Cloudflare's global edge for WebRTC cut jitter, packet loss, and delay—feeding cleaner “robot food” to AI. Voice that sounds human: Advances in neural voices (e.g., ElevenLabs) raise comprehension and comfort, improving CX outcomes. Tool orchestration made simple: MCP/agent frameworks (e.g., Anthropic-style tool calling) connect CRM/ERP and data sources without brittle middleware. Who wins, who loses Winners: UCaaS/CPaaS and AI-forward CCaaS that treat AI agents as first-class endpoints; telcos bundling AI with SIP routing and data plans; high-volume enterprises offloading Tier-1 to real-time AI. At risk: IVR-only vendors, low-end CCaaS, and speech-to-text middleware that don't adopt AI—“adopt or die.” Why it matters for MSPs & channel partners The migration path is here now: swap tree-based IVR for NLP-driven, real-time voice agents, integrate with existing stacks via SIP, and monetize AI minutes + memories. Business impact: shorter handle times, higher first-contact resolution, lower OpEx, and fewer abandoned calls—especially for customers calling with urgent needs. This episode includes a slide presentation outlining the end of menu trees, the SIP-AI architecture, and four go-to-market “wins” for carriers, UC/CPaaS, CCaaS, and large enterprises. Learn more about Andy's work at comunicano.com (one “m”) and his commentary at AndyAbramson.com and on LinkedIn.

Soham spent 6 months building AI that would auto-generate integrations between any software. He locked down Glean as an early customer because he had friends there. And it failed completely.So he pivoted. This time, he refused to work with friendly customers who knew him. Instead, he did 10-20 calls per day with strangers who would tell him his product sucked. He posted on Discord communities at 3am, wrote technical blogs that went viral on Reddit, and created fake landing pages to see what integrations people actually wanted. In one year, Composio grew to 100,000 developers and raised $30M from Lightspeed in just 3 weeks. His contrarian take: in AI, asking users what they want will just get you faster horses. Built it instead, and watch their eyes light up.Why You Should Listen:Why friendly customers will kill your startup.The 20  calls per day strategy that scaled Composio to 100,000 users.Why you can't validate AI products by asking.The exact Discord and SEO tactics that got their first thousand users without spending on adsKeywords (comma-separated):The PMF Show is a startup podcast. The Product Market Fit Show is a startup podcast. Startup Podcast, Composio, Soham Ganatra, AI agents, developer tools, pivot, Series A, Lightspeed, integrations, API, tool calling00:00:00 Intro00:06:44 Playing with GPT-2 before ChatGPT00:12:37 Leaving his job to start Composio00:21:16 Pivoting to integrations for AI agents00:28:42 Why friendly customers are dangerous00:31:01 Getting first users through viral content00:36:01 Taking 10-20 customer calls per day00:40:58 Scaling from 1,000 to 100,000 developers00:43:58 MCP and the explosion of growth00:48:59 Raising $30M from Lightspeed in 3 weeksSend me a message to let me know what you think!

MIT's ‘95% of AI pilots fail' headline is a litmus test: will people think critically, or just swallow clickbait?Unfortunately, the latter won.The MIT '95 % of AI pilots fail' study has taken over the internet, and it's one of the worst studies I've ever read. (And I've read thousands.) ↳ So, what's the truth?↳ Is AI a bubble that's about to pop? ↳ Why is this study rubbish? ↳ And how does it impact you? Don't miss out.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:MIT AI Study Claims 95% Failure RateBreakdown of MIT Study MethodologyImpact of Viral MIT AI Study HeadlinesFlaws in MIT Study ROI MeasurementComparison With Reputable AI ROI StudiesMIT Study's Biased Participant SelectionNanda Project Marketing in MIT ReportFive Major Red Flags in MIT AI ResearchBusiness Implications of Flawed AI Pilots DataHow Media Sensationalizes AI Study ResultsTimestamps:00:00 "MIT AI Study Critique"04:16 AI Investments Trigger Stock Market Decline06:37 "Host's Background Overview"10:58 Flawed AI Study Critique13:28 MIT Study Highlights AI Implementation Challenges18:58 AI Work Trends & ROI Insights20:17 "Crossing the Gen AI Divide"23:25 Flawed Study with Misleading Claims29:34 "Uncritical Reposting Spurs Fake Study"30:30 "Read Studies, Not Summaries"Keywords:MIT AI study, 95% AI pilot failure, enterprise AI pilots, generative AI ROI, AI pilot success rate, AI project failure, state of AI in business, gen AI divide, MIT Media Lab, AI investment, AI implementation challenges, AI return on investment, AI research methodology, AI study critique, AI marketing, Nanda project, AI vendor solutions, agentic web, MCP protocol, A2A protocol, Fortune article, AI media coverage, stock market impact, NVIDIA stock drop, Palantir, ARM stock, qualitative AI data, AI structured interviews, AI industry surveys, IDC AI research, Snowflake ESG report, McKinsey AI analysis, Microsoft Work Trend Index, Boston Consulting Group AI study, AI adoption rates, enterprise AI transformation, sample size in AI studies, research limitations, AI productivity impact, AI workflow automation, AI business decisions, AI bubble, AI reporting in media, AI pilot timeline, enterprise AI tools, AI agent capabilities, AI autonomy, custom AI solutions, AI study bias, marketing disguised as research, sensationalized AI studies.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

How do you apply your leadership skills to a new, mission-driven industry and effectively lead teams across multiple technical domains? In this episode, Simone Kalmakis (VPE @ Viam) shares her playbook for successfully transitioning between industries from health-tech and climate to her current work in robotics and AI. We deconstruct the leadership models she uses to prioritize her time, manage multiple technical experts, and why she focuses on "depth with 1-2 teams > breadth". Plus, her framework for onboarding in a new domain, the lifecycle of a leadership "deep dive," and communication practices that build trust and empower your entire organization to stay aligned and motivated.ABOUT SIMONE KALMAKISSimone Kalmakis is the VP of Engineering at Viam, a platform unlocking AI, data, and automation for devices in the physical world. She has deep experience applying AI and machine learning to big data and big missions, and is known for building healthy engineering organizations that drive business value and real-world progress.Prior to Viam, Simone was Senior Director of Engineering at Arcadia, a climate tech company building an API platform for residential utility data to power solutions that fight climate change. Before that, she served as Director of Engineering at Flatiron Health, where she helped accelerate the development of cancer treatments through real-world data.Simone began her career at Microsoft, developing machine-learned relevance algorithms for Bing. She's also a successful founder––after Microsoft, she built and sold Symbi, a roommate-matching startup. She holds a degree in Mathematics and Economics from Yale University. ToolHive Unlocks the Full Value of MCP & Your AI AgentsSo you've invested in AI agents for code generation, but they're limited to experiments or even stuck on the shelf. To do real, valuable work, those AI agents need access to your data and systems.ToolHive helps you confidently connect the pieces by making it simple and secure for you to use the Model Context Protocol (MCP).ToolHive includes a pre-vetted registry of MCP servers, containerizes every MCP server for consistency and leans on built-in security to keep your secrets safe.Leaders trust ToolHive to put MCP into production and put their AI agents to work.ToolHive is open source, so get started for free at toolhive.dev Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections!

Jem and Justin chew over 100,000 holes for breakfast and why you can't rush them. They tackle janky probing and a carbon reporting prototype that's greener than your inbox peach emoji. From Wera distribution deals to David's Robot Factory, plus a wild mill shopping spree and AI tools that might just save the day. Oh, and an MCP mess you don't want to miss.Watch on YoutubeDISCUSSED:✍️ Comment or Suggest a Topic100,000 holes for breakfastCondition the hold vac?Janky probingCarbon Reporting prototypePDX CNC is a Wera distributor8020 extrusion configurationsDavid's Robot FactoryPeople with consciousEric's call for helpThe peach of inbox 20something

AI, Amazon & the future of eCommerce The buzz around AI isn't slowing down—and for good reason. It's not just another shiny tool. It's changing how businesses work, grow, and compete. This week, Richard sits down with JJo Lambadjieva, CEO and founder of Amazing Wave, to break down what AI really means for Amazon sellers and eCommerce brands. Jo's been in the game for 14+ years—running performance marketing for D2C and retail, supporting Amazon vendors through his boutique agency, and later leading strategy and operations at a major aggregator. When ChatGPT dropped in 2022, he saw what was coming and started building AI into everyday workflows. In this episode, Joe and Richard cut through the hype and share real strategies: How AI uncovers hidden inefficiencies in your businessWhy even solo operators can scale productivity with the right toolsWhat evolving search and customer behavior means for the future of selling It's not about replacing people. It's about giving teams leverage, speeding up the boring work, and staying competitive as the landscape shifts. Whether you're an Amazon pro, just testing AI in your processes, or curious where the industry's headed, this one's packed with practical advice and real-world examples. Listen now—and start spotting opportunities AI can unlock for your business. Topics covered: 00:00 "Integrating AI in E-commerce SEO" 06:30 ChatGPT: Second Brain on Walks 10:25 AI's Organizational Impact: Efficiency, Data, Talent 11:26 AI as a Team Enhancement Tool 16:01 AI Innovations with MCP and Artifacts 18:48 "AI: Utility Over Hype" 22:45 AI Meeting Recorders Enhance Interviews 26:13 Improving Data Hygiene and Organization 29:19 "Rufus AI: Transforming Amazon Shopping" 34:13 "Rufus Blueprint Analysis Highlights" 38:02 Empowered Teams Boost Efficiency 41:54 "Invest in Data and AI Search" 45:36 Improving Brand Presence in LLMs 46:35 Expert Tool Recommendations for Ecom 51:02 "AI E-Commerce Newsletter"

In this episode of the "Southern Medicine Podcast," Joseph Song, MD, and Randy Glick, BSB/PM, MCP discuss urolithiasis, commonly known as kidney stones, as well as environmental and dietary factors that increase stone risk particularly as it pertains to Southern living. In addition, they talk about treatments and new advancements in stone therapy. Dr. Joseph Song attended Emory University on a full Robert W. Woodruff Scholarship, graduating summa cum laude with a degree in biology, and went on to receive a full William A. Peck Scholarship to attend Washington University in St. Louis School of Medicine, where he also completed his Urology residency. He has received numerous awards, including the American Urologic Association's 2013 Prize Abstract Award and the World Congress in Endourology's 2015 Best Paper Award, and has contributed 18 articles and book chapters and presented 12 abstracts and podiums. His research focuses on urologic cancers, benign prostatic hyperplasia (BPH), erectile dysfunction (ED), kidney stone disease, engineering in urology, and lowering readmission after surgery. Dr. Song practices at Georgia Urology and has staff privileges at Northside Duluth and Northside Gwinnett Hospitals.

In this episode of the "Southern Medicine Podcast", Richard Leggett, MD, and Randy Glick, BSB/PM, MCP discuss the impact of overdoses—including from fentanyl—on individuals, families, and communities. They explore the importance of raising awareness, reducing stigma, and expanding access to mental health and substance use treatment services. The conversation also highlights proactive strategies, community resources, and the critical role of support systems in helping those affected by addiction and loss. Dr. Richard Leggett currently serves as a core faculty member with the Lewis-Gale Medical Center GME-Psychiatry program in Salem, Virginia, where he assists in the recruitment and training of general psychiatry residents. His special interests include cross-cultural and spiritual issues in psychiatry.

Tristan talks with Mikkel Dengsøe, co-founder at SYNQ, to break down what agentic coding looks like in analytics engineering. Mikkel walks through a hands-on project using Cursor, the dbt MCP server, Omni's AI assistant, and Snowflake. They cover where agents shine (staging, unit tests, lineage-aware checks), where they're risky (BI chat for non-experts), and how observability is shifting from dashboards to root-cause explanations. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. The Analytics Engineering Podcast is sponsored by dbt Labs.

Okta's CTO Bhawna Singh discusses AI adoption, innovation and the four critical identity patterns needed to build the trust that accelerates AI implementation.Topics Include:AI innovation races ahead while adoption lags due to trust and security concernsResearch shows 82% plan AI deployment but 61% of customers demand trust firstAI coding tools dramatically reduce development time, accelerating software delivery cyclesAI interaction evolved from ChatGPT conversations to autonomous headless agents working independentlyFuture envisions millions of agents making decisions and communicating without human oversightComplex data relationships emerge as agents access multiple dynamic sources simultaneouslyTrust fundamentally starts with identity - the foundation for all AI securityFour critical identity patterns needed: authentication, API security, user confirmation, and authorizationAuthentication ensures legitimate agents while token vaults enable secure agent-to-agent communicationAsynchronous user approval prevents rogue decisions like the recent database deletion incidentIndustry standards like MCP protocol establish minimum security guardrails for interoperabilityTrust accelerates AI adoption through security, accountability, and collaborative standard-building effortsParticipants:Bhawna Singh – CTO, Customer Identity, OktaSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

All links and images can be found on CISO Series. Check out this post for the discussion that is the basis of our conversation on this week's episode co-hosted by David Spark, the producer of CISO Series, and Geoff Belknap. Joining us is our sponsored guest Mokhtar Bacha, founder and CEO, Formal. In this episode: Access management faces transformation  AI agents demand new authentication paradigms AI complexity demands simplified governance approaches Data-centric identity management replaces role-based approaches Huge thanks to our sponsor, Formal Formal secures humans, AI agent's access to MCP servers, infrastructure, and data stores by monitoring and controlling data flows in real time. Using a protocol-aware reverse proxy, Formal enforces least-privilege access to sensitive data and APIs, ensuring AI behavior stays predictable and secure. Visit joinformal.com to learn more or schedule a demo.

Harnessing MCPs for Automation: Revolutionizing Amazon Seller Workflows Episode Overview In this episode, Danny McMillan and Leo Automations explore the transformative potential of MCPs  for Amazon sellers. They discuss how these tools can streamline workflows, enhance productivity, and ultimately drive business growth by automating mundane tasks. This episode explores automation in amazon selling, efficiency through mcp integration with practical insights for immediate implementation. Model Context Protocol (MCP) is an open standard created by Anthropic in November 2024. Think of it as the USB-C port for AI applications. Before USB-C, every device needed its own cable—phone chargers, laptop chargers, headphones, all different. USB-C created one universal standard. MCP does the same thing for AI connections to business tools.

Episode #390: The exhibition Fragmentation, hosted earlier this year at Bangkok Art and Culture Center and co-organized by SEA Junction and A New Burma, presented haunting photographs of displaced teachers and students in Karenni State, capturing both devastation and resilience in the midst of war. Through a series of interviews, curators and participants reflected on the deeper meanings of these images.Tim, the co-curator and graphic designer, explained the deliberate effort to avoid sensationalizing suffering, instead showing both the grief of loss and the ordinariness of children still learning. He recalls how the sound of school bells had come to double as an airstrike siren, a chilling metaphor for the normalization of fear.Nicola Edwards, an education researcher, highlights how schools and health facilities have become deliberate military targets. Yet she notes that this destruction has catalyzed new, community-driven education systems, from jungle classrooms to mother-tongue curricula, where untrained but dedicated volunteers sustain children's learning and safety.Patrick, a frontline doctor in Karenni, describes the direct targeting of hospitals and the horrific injuries he treats daily, many of them children. Though he has survived airstrikes and seen atrocities firsthand, he emphasized solidarity among medical workers and the determination to continue serving despite trauma.Mya Hein, a Muslim student unionist, reflects on his political awakening, the discrimination he faced, and how the revolution has brought fleeting moments of solidarity alongside lingering structural inequalities. He urged that minority rights must be central to any genuine future for Myanmar.Finally, artist and organizer MCP spoke of the revolution's impact on art, where creativity has become both a tool of survival and a means of political dialogue. For him, art conveys truths and emotions beyond statistics, keeping Myanmar's suffering—and hope—visible to the world.Together, their voices reveal a portrait of education, health, identity, and creativity as intertwined acts of resistance.

Benedicte takes a trip down memory lane. The Userlist team wraps up the redesign project.While writing the newsletter edition focusing on Omway, Benedicte stumbled across old photos from when she worked on a demo called Oslo Stories. On the work front, Outseta's MCP server is now an npm package that can be used with Cursor, Claude, and more.The Userlist team has been in full crunch mode these past few days to get everything polished for the September 9th launch. Benedikt also figured out the solution to a database performance issue.Mentioned on the show:Oslohistorier (Oslo Stories)Outseta Admin MCP Server

You can reach out and support me at: Patreon: https://www.patreon.com/LexaWhite Discord: ggyppt#1249 (Lexa White on most of the MCP discords) Tumblr: http://ggyppt.tumblr.com   Intro and Outro Music by Codefreq https://www.youtube.com/channel/UCc8KSSTFLmcls2pQEgCiyDw Logo designed by Rayan Meyer

A panel discussion with AI industry leaders revealing how enterprises are scaling AI today, with predictions on coming breakthroughs for AI and the impact on Fortune 500 companies and beyond.Topics Include:Three technical leaders discuss production challenges: security, interoperability, and scaling agentic systemsPanelists represent Enkrypt (security), Anyscale (infrastructure), and CrewAI (agent orchestration platforms)Industry moving from flashy demos to dependable agents with real business outcomesBreakthrough examples include 70-page IRS form processing and multimodal workflow automationMultimodal data integration becoming crucial - incorporating video, audio, screenshots into decisionsLess than 10% of future applications expected to be text-onlyCompanies shifting from experimenting with individual models to deploying agent networksNeed for governance frameworks as enterprises scale to hundreds of agentsGrowing software stack complexity requires specialized infrastructure between applications and GPUsSecurity teams need centralized visibility across fragmented agent deployments across enterprisesExisting industry regulations apply to AI services - no special AI laws neededInteroperability standards debate: MCP gaining adoption while A2A seems premature solutionMCP shows higher API reliability than OpenAI tool calling for implementationsMultimodal systems more vulnerable to attacks but value proposition too high ignoreFortune 500 company automated price operations approval process using 630 brands data87% of enterprise customers deploy agents in private VPCs or on-premises infrastructureSpecialized AI systems needed to oversee other agents at machine speed scalesCost optimization through model specialization rather than always using most powerful modelsFuture learning may happen through context/prompting rather than traditional weight fine-tuningPredictions include AI meeting moderators and agents working autonomously for hoursParticipants:Robert Nishihara - Co-founder, AnyscaleJoão Moura - CEO, CrewAISahil Agarwal - Co-Founder & CEO, Enkrypt AIJillian D'Arcy - Sr. ISV Sales Leader, Amazon Web ServicesFurther Links:Anyscale – Website | LinkedIn | AWS MarketplaceCrewAI - Website | LinkedIn | AWS MarketplaceEnkrypt AI - Website | LinkedIn | AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

In this must-see BlackHat 2025 interview, Doug White sits down with Michael Callahan, CMO at Salt Security, for a high-stakes conversation about Agentic AI, Model Context Protocol (MCP) servers, and the massive API security risks reshaping the cyber landscape. Broadcast live from the CyberRisk TV studio at Mandalay Bay, Las Vegas, the discussion pulls back the curtain on how autonomous AI agents and centralized MCP hubs could supercharge productivity—while also opening the door to unprecedented supply chain vulnerabilities. From “shadow MCP servers” to the concept of an “API fabric,” Michael explains why these threats are evolving faster than traditional security measures can keep up, and why CISOs need to act before it's too late. Viewers will get rare insight into the parallels between MCP exploitation and DNS poisoning, the hidden dangers of API sprawl, and why this new era of AI-driven communication could become a hacker's dream. Blog: https://salt.security/blog/when-ai-agents-go-rogue-what-youre-missing-in-your-mcp-security Survey Report: https://content.salt.security/AI-Agentic-Survey-2025_LP-AI-Agentic-Survey-2025.html This segment is sponsored by Salt Security. Visit https://securityweekly.com/saltbh for a free API Attack Surface Assessment! At Black Hat 2025, live from the Cyber Risk TV studio in Las Vegas, Jackie McGuire sits down with Apiiro Co-Founder & CEO Idan Plotnik to unpack the real-world impact of AI code assistants on application security, developer velocity, and cloud costs. With experience as a former Director of Engineering at Microsoft, Idan dives into what drove him to launch Apiiro — and why 75% of engineers will be using AI assistants by 2028. From 10x more vulnerabilities to skyrocketing API bloat and security blind spots, Idan breaks down research from Fortune 500 companies on how AI is accelerating both innovation and risk. What you'll learn in this interview: - Why AI coding tools are increasing code complexity and risk - The massive cost of unnecessary APIs in cloud environments - How to automate secure code without slowing down delivery - Why most CISOs fail to connect security to revenue (and how to fix it) - How Apiiro's Autofix AI Agent helps organizations auto-fix and auto-govern code risks at scale This isn't just another AI hype talk. It's a deep dive into the future of secure software delivery — with practical steps for CISOs, CTOs, and security leaders to become true business enablers. Watch till the end to hear how Apiiro is helping Fortune 500s bridge the gap between code, risk, and revenue. Apiiro AutoFix Agent. Built for Enterprise Security: https://youtu.be/f-_zrnqzYsc Deep Dive Demo: https://youtu.be/WnFmMiXiUuM This segment is sponsored by Apiiro. Be one of the first to see their new AppSec Agent in action at https://securityweekly.com/apiirobh. Is Your AI Usage a Ticking Time Bomb? In this exclusive Black Hat 2025 interview, Matt Alderman sits down with GitLab CISO Josh Lemos to unpack one of the most pressing questions in tech today: Are executives blindly racing into AI adoption without understanding the risks? Filmed live at the CyberRisk TV Studio in Las Vegas, this eye-opening conversation dives deep into: - How AI is being rapidly adopted across enterprises — with or without security buy-in - Why AI governance is no longer optional — and how to actually implement it - The truth about agentic AI, automation, and building trust in non-human identities - The role of frameworks like ISO 42001 in building AI transparency and assurance - Real-world examples of how teams are using LLMs in development, documentation & compliance Whether you're a CISO, developer, or business exec — this discussion will reshape how you think about AI governance, security, and adoption strategy in your org. Don't wait until it's too late to understand the risks. The Economics of Software Innovation: $750B+ Opportunity at a Crossroads Report: http://about.gitlab.com/software-innovation-report/ For more information about GitLab and their report, please visit: https://securityweekly.com/gitlabbh Live from Black Hat 2025 in Las Vegas, Jackie McGuire sits down with Chris Boehm, Field CTO at Zero Networks, for a high-impact conversation on microsegmentation, shadow IT, and why AI still struggles to stop lateral movement. With 15+ years of cybersecurity experience—from Microsoft to SentinelOne—Chris breaks down complex concepts like you're a precocious 8th grader (his words!) and shares real talk on why AI alone won't save your infrastructure. Learn how Zero Networks is finally making microsegmentation frictionless, how summarization is the current AI win, and what red flags to look for when evaluating AI-infused security tools. If you're a CISO, dev, or just trying to stay ahead of cloud threats—this one's for you. This segment is sponsored by Zero Networks. Visit https://securityweekly.com/zerobh to learn more about them! Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-346

Host Aydin Mirzaee welcomes Marquis Murray, productivity consultant and YouTuber, to share how AI agents are transforming day-to-day work. Marquis walks through live demos connecting Claude to Asana via MCP to auto-build projects from transcripts, generate executive-ready status PDFs, and create “AI teammates” in Asana that triage requests, draft briefs, write emails/blogs, and route approvals—keeping humans in the loop. Once you see it, you won't go back to manual setup.Timestamps0:06 – Why manual project planning is over; AI compresses weeks into minutes.0:17 – Introducing Marquis Murray.0:43 – Starting the YouTube channel during lockdowns; documenting Asana learnings.2:06 – From corporate to consulting; helping teams adopt Asana, HubSpot, Zoom, Slack.4:05 – Making companies more productive with AI and integrations.4:53 – Today's plan: Claude + Asana + agents.6:06 – Using Claude as a “central AI” via MCP.8:17 – Building a Customer Appreciation Event project in Asana directly from Claude.12:20 – Custom fields/sections: what connectors can and can't create.13:06 – Finished example: phases, tasks, owners, dates.14:05 – Feeding transcripts and docs to generate realistic demo projects.19:05 – “If you're not doing this yet, start today.”19:42 – Pulling Asana status into Claude and exporting a polished PDF.23:34 – Exec-friendly reports: progress bars, metrics, priorities.24:50 – Asana AI Studio: agents as virtual teammates.27:23 – Auto-correcting human errors: naming, missing info, duplicates.29:02 – Agents rename tasks, create briefs, draft assets.35:42 – Agents gatekeep incomplete requests; ask for specifics.37:13 – AI-generated campaign brief, email, and blog drafts.39:08 – Human-in-the-loop approvals before going live.43:01 – Triage demo: vague video request → structured follow-ups.45:25 – Auto-created subtasks to collect missing details.46:33 – “Easy mode” for building agents with natural language.47:03 – Marquis's wish: a true AI chief of staff that restructures your day.48:56 – Where to find Marquis's tutorials; wrap-up.Tools & Technologies MentionedAsana — Project management platform; AI Studio builds rule/LLM agents (“teammates”).Claude (Anthropic) — AI assistant used for brainstorming, MCP connections, summaries.Perplexity — AI search and research assistant.HubSpot / Salesforce / Jira — CRM/dev tools commonly integrated with Asana workflows.Zoom & Slack — Core collaboration stack surfaced during remote shift.MCP (Model Context Protocol) — Lets LLMs securely interact with external tools like Asana.Fellow.ai — AI meeting assistant for accurate summaries, action items, and insights.Google Drive, Gmail, Calendar, Canva — Connected apps Claude can use to orchestrate work.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

In this must-see BlackHat 2025 interview, Doug White sits down with Michael Callahan, CMO at Salt Security, for a high-stakes conversation about Agentic AI, Model Context Protocol (MCP) servers, and the massive API security risks reshaping the cyber landscape. Broadcast live from the CyberRisk TV studio at Mandalay Bay, Las Vegas, the discussion pulls back the curtain on how autonomous AI agents and centralized MCP hubs could supercharge productivity—while also opening the door to unprecedented supply chain vulnerabilities. From “shadow MCP servers” to the concept of an “API fabric,” Michael explains why these threats are evolving faster than traditional security measures can keep up, and why CISOs need to act before it's too late. Viewers will get rare insight into the parallels between MCP exploitation and DNS poisoning, the hidden dangers of API sprawl, and why this new era of AI-driven communication could become a hacker's dream. Blog: https://salt.security/blog/when-ai-agents-go-rogue-what-youre-missing-in-your-mcp-security Survey Report: https://content.salt.security/AI-Agentic-Survey-2025_LP-AI-Agentic-Survey-2025.html This segment is sponsored by Salt Security. Visit https://securityweekly.com/saltbh for a free API Attack Surface Assessment! At Black Hat 2025, live from the Cyber Risk TV studio in Las Vegas, Jackie McGuire sits down with Apiiro Co-Founder & CEO Idan Plotnik to unpack the real-world impact of AI code assistants on application security, developer velocity, and cloud costs. With experience as a former Director of Engineering at Microsoft, Idan dives into what drove him to launch Apiiro — and why 75% of engineers will be using AI assistants by 2028. From 10x more vulnerabilities to skyrocketing API bloat and security blind spots, Idan breaks down research from Fortune 500 companies on how AI is accelerating both innovation and risk. What you'll learn in this interview: - Why AI coding tools are increasing code complexity and risk - The massive cost of unnecessary APIs in cloud environments - How to automate secure code without slowing down delivery - Why most CISOs fail to connect security to revenue (and how to fix it) - How Apiiro's Autofix AI Agent helps organizations auto-fix and auto-govern code risks at scale This isn't just another AI hype talk. It's a deep dive into the future of secure software delivery — with practical steps for CISOs, CTOs, and security leaders to become true business enablers. Watch till the end to hear how Apiiro is helping Fortune 500s bridge the gap between code, risk, and revenue. Apiiro AutoFix Agent. Built for Enterprise Security: https://youtu.be/f-_zrnqzYsc Deep Dive Demo: https://youtu.be/WnFmMiXiUuM This segment is sponsored by Apiiro. Be one of the first to see their new AppSec Agent in action at https://securityweekly.com/apiirobh. Is Your AI Usage a Ticking Time Bomb? In this exclusive Black Hat 2025 interview, Matt Alderman sits down with GitLab CISO Josh Lemos to unpack one of the most pressing questions in tech today: Are executives blindly racing into AI adoption without understanding the risks? Filmed live at the CyberRisk TV Studio in Las Vegas, this eye-opening conversation dives deep into: - How AI is being rapidly adopted across enterprises — with or without security buy-in - Why AI governance is no longer optional — and how to actually implement it - The truth about agentic AI, automation, and building trust in non-human identities - The role of frameworks like ISO 42001 in building AI transparency and assurance - Real-world examples of how teams are using LLMs in development, documentation & compliance Whether you're a CISO, developer, or business exec — this discussion will reshape how you think about AI governance, security, and adoption strategy in your org. Don't wait until it's too late to understand the risks. The Economics of Software Innovation: $750B+ Opportunity at a Crossroads Report: http://about.gitlab.com/software-innovation-report/ For more information about GitLab and their report, please visit: https://securityweekly.com/gitlabbh Live from Black Hat 2025 in Las Vegas, Jackie McGuire sits down with Chris Boehm, Field CTO at Zero Networks, for a high-impact conversation on microsegmentation, shadow IT, and why AI still struggles to stop lateral movement. With 15+ years of cybersecurity experience—from Microsoft to SentinelOne—Chris breaks down complex concepts like you're a precocious 8th grader (his words!) and shares real talk on why AI alone won't save your infrastructure. Learn how Zero Networks is finally making microsegmentation frictionless, how summarization is the current AI win, and what red flags to look for when evaluating AI-infused security tools. If you're a CISO, dev, or just trying to stay ahead of cloud threats—this one's for you. This segment is sponsored by Zero Networks. Visit https://securityweekly.com/zerobh to learn more about them! Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-346

In this must-see BlackHat 2025 interview, Doug White sits down with Michael Callahan, CMO at Salt Security, for a high-stakes conversation about Agentic AI, Model Context Protocol (MCP) servers, and the massive API security risks reshaping the cyber landscape. Broadcast live from the CyberRisk TV studio at Mandalay Bay, Las Vegas, the discussion pulls back the curtain on how autonomous AI agents and centralized MCP hubs could supercharge productivity—while also opening the door to unprecedented supply chain vulnerabilities. From “shadow MCP servers” to the concept of an “API fabric,” Michael explains why these threats are evolving faster than traditional security measures can keep up, and why CISOs need to act before it's too late. Viewers will get rare insight into the parallels between MCP exploitation and DNS poisoning, the hidden dangers of API sprawl, and why this new era of AI-driven communication could become a hacker's dream. Blog: https://salt.security/blog/when-ai-agents-go-rogue-what-youre-missing-in-your-mcp-security Survey Report: https://content.salt.security/AI-Agentic-Survey-2025_LP-AI-Agentic-Survey-2025.html This segment is sponsored by Salt Security. Visit https://securityweekly.com/saltbh for a free API Attack Surface Assessment! At Black Hat 2025, live from the Cyber Risk TV studio in Las Vegas, Jackie McGuire sits down with Apiiro Co-Founder & CEO Idan Plotnik to unpack the real-world impact of AI code assistants on application security, developer velocity, and cloud costs. With experience as a former Director of Engineering at Microsoft, Idan dives into what drove him to launch Apiiro — and why 75% of engineers will be using AI assistants by 2028. From 10x more vulnerabilities to skyrocketing API bloat and security blind spots, Idan breaks down research from Fortune 500 companies on how AI is accelerating both innovation and risk. What you'll learn in this interview: - Why AI coding tools are increasing code complexity and risk - The massive cost of unnecessary APIs in cloud environments - How to automate secure code without slowing down delivery - Why most CISOs fail to connect security to revenue (and how to fix it) - How Apiiro's Autofix AI Agent helps organizations auto-fix and auto-govern code risks at scale This isn't just another AI hype talk. It's a deep dive into the future of secure software delivery — with practical steps for CISOs, CTOs, and security leaders to become true business enablers. Watch till the end to hear how Apiiro is helping Fortune 500s bridge the gap between code, risk, and revenue. Apiiro AutoFix Agent. Built for Enterprise Security: https://youtu.be/f-_zrnqzYsc Deep Dive Demo: https://youtu.be/WnFmMiXiUuM This segment is sponsored by Apiiro. Be one of the first to see their new AppSec Agent in action at https://securityweekly.com/apiirobh. Is Your AI Usage a Ticking Time Bomb? In this exclusive Black Hat 2025 interview, Matt Alderman sits down with GitLab CISO Josh Lemos to unpack one of the most pressing questions in tech today: Are executives blindly racing into AI adoption without understanding the risks? Filmed live at the CyberRisk TV Studio in Las Vegas, this eye-opening conversation dives deep into: - How AI is being rapidly adopted across enterprises — with or without security buy-in - Why AI governance is no longer optional — and how to actually implement it - The truth about agentic AI, automation, and building trust in non-human identities - The role of frameworks like ISO 42001 in building AI transparency and assurance - Real-world examples of how teams are using LLMs in development, documentation & compliance Whether you're a CISO, developer, or business exec — this discussion will reshape how you think about AI governance, security, and adoption strategy in your org. Don't wait until it's too late to understand the risks. The Economics of Software Innovation: $750B+ Opportunity at a Crossroads Report: http://about.gitlab.com/software-innovation-report/ For more information about GitLab and their report, please visit: https://securityweekly.com/gitlabbh Live from Black Hat 2025 in Las Vegas, Jackie McGuire sits down with Chris Boehm, Field CTO at Zero Networks, for a high-impact conversation on microsegmentation, shadow IT, and why AI still struggles to stop lateral movement. With 15+ years of cybersecurity experience—from Microsoft to SentinelOne—Chris breaks down complex concepts like you're a precocious 8th grader (his words!) and shares real talk on why AI alone won't save your infrastructure. Learn how Zero Networks is finally making microsegmentation frictionless, how summarization is the current AI win, and what red flags to look for when evaluating AI-infused security tools. If you're a CISO, dev, or just trying to stay ahead of cloud threats—this one's for you. This segment is sponsored by Zero Networks. Visit https://securityweekly.com/zerobh to learn more about them! Show Notes: https://securityweekly.com/asw-346

Send us a textOur Patreon - https://www.patreon.com/HockeyCardsGongshowOn this episode of the Hockey Cards Gongshow podcast we start with Get To Know Your Hockey Hall of Famers, this time looking at the life, hockey career, and hobby market for hockey hall of famer, Joe Primeau (12:45). Next we take a look at the almost three year drought of any public hockey card sale over $500,000 USD (18:44).  In hobby news, more sports teams embrace cards, what's going on with the tariffs situation, and Best Western gets sued over sports cards (50:06).  Mark Hill, founder of My Card Post, joins the show to talk about the 3-year evolution of his trading card marketplace & community and how he went all-in on MCP (1:12:54).  We look at the top five (very) early hockey card sales from 2024-25 Upper Deck Clear Cut (2:10:26).  Next, we answer your mailbag questions (2:21:26), then end the show with personal pickups (3:08:50).Partners & SponsorsHockeyChecklists.com - https://www.hockeychecklists.comSlab Sharks Consignment - http://bit.ly/3GUvsxNSlab Sharks is now accepting U.S. submissions!MINTINK - https://www.mintink.caPSA - https://www.psacard.comGP Sports Cards - https://gpsportcards.com/Private Collection Insurance - https://privatecollectioninsurance.comPather Ultimate HoldersShop USA - https://shoppather.com/Shop Canada - https://shoppather.ca/Sign up for Card Ladder - https://app.cardladder.com/signup?via=HCGongshoFollow Hockey Cards Gongshow on social mediaInstagram - https://www.instagram.com/hockey_cards_gongshow/TikTok - https://www.tiktok.com/@hockey_cards_gongshowFacebook - https://www.facebook.com/HockeyCardsGongshowTwitter - https://twitter.com/HCGongshowThe Hockey Cards Gongshow podcast is a production of Dollar Box Ventures LLC

An airhacks.fm conversation with Stephan Janssen (@Stephan007) about: Devoxx Belgium conference selling out in seconds with 7000+ page views, ticket coordination strategies by companies, VAT validation issues with European services, conference featuring largest Java AI content globally, AI and LLM focus with dedicated GenAI track, MCP and AI agents presentations, Java on GPU with tornadovm and Babylon project, quarkus AI agents for langchain4j, vibes coding experiences with React and Angular, importance of specifications for AI code generation, using multiple LLMs for review (Claude, GPT, DeepSeek), file system RAG replacing vector databases, MCP as evolution of RAG, Java as optimal language for LLM code generation due to type safety and standards, bce pattern and MicroProfile for consistent code structure, package-info files improving LLM context understanding, junior developers benefiting from AI as universal tutor, CSS generation without manual coding, dark/light theme support using CSS variables, enterprise challenges with dependency management, DevoxxGenie plugin popularity in enterprises with restricted AI access, open source contribution challenges, local LLMs becoming powerful for enterprise inference, TornadoVM Metal support enabling local inference, comparison with GraalVM inference performance, AI disrupting video production and creative industries, importance of prompt engineering skills, renaissance of development through AI empowerment Stephan Janssen on twitter: @Stephan007

In this episode, the hosts welcome back David Jarvis, co-founder and CEO of Griffin, for his second appearance on the show. The discussion centres on the emerging concept of agentic banking and Griffin's development of the MCP server. David explains how the MCP server enables AI models to interact with banking APIs using a configuration file, significantly enhancing automation and functionality. The conversation explores how this technology could transform areas such as corporate treasury, wealth management, and broader financial services. David outlines how AI agents might one day handle complex tasks traditionally managed by intermediaries like mortgage brokers and treasurers, streamlining operations and reducing costs. While still in the early stages, this innovation is already gaining interest from banks and fintech firms. The episode also looks ahead to the future of AI in banking, examining both the potential and the practical challenges of integrating agentic systems into existing infrastructure. Listeners can find out more via Griffin's website (https://griffin.com/) and blog.

Last episode, we lamented Claude's lack of checkpoints to roll back code when it goes off the rails. Other devs feel the same, and this week Checkpoints for Claude Code debuted. It's an MCP server that follows Claude Code, creating checkpoints when tasks are completed, allowing for easy reverts when needed.The Bun team quietly pushed some nice new features in Bun v1.2. Highlights include: a unified SQL client with zero dependencies, native YAML file support, OS native credential storage for secrets, and a security scanner API that scans packages for vulnerabilities before installation.And MCP-UI, a toolkit of interactive UI components for MCP has new features to support resources beyond text like embedded iframes and even raw HTML. Not all agents with MCP support can handle these new resources, but if they can, users can see product photos, data visualizations, and other mini sites right in their AI chat.In the Lightning News section for this week, the folks at Deno leading the charge to get Oracle to relinquish its trademark for JavaScript need our help. Those legal bills aren't going to pay themselves and Deno's pockets aren't nearly as deep as Oracle's, so if you care about making JavaScript public domain (which it absolutely should be), please consider donating so they can keep fighting the good fight to free JS. Every little bit helps.Timestamps:00:48 - Claude Code thinking modes & checkpoints10:33 - Bun v1.217:04 - MCP-UI updates23:06 - Claude for Chrome28:12 - Donate to help Deno fight Oracle30:24 - What's making us happyLinks:Paige - Bun v1.2Jack - MCP-UI updatesTJ - Claude Code Thinking Modes & Claude Code CheckpointsClaude for ChromeDonate to help Deno keep fighting Oracle in courtPaige - Zima Dental PodJack - Foundation TV seriesTJ - Babe Ruth commits fraudThanks as always to our sponsor, the Blue Collar Coder channel on YouTube. You can join us in our Discord channel, explore our website and reach us via email, or talk to us on X, Bluesky, or YouTube.Front-end Fire websiteBlue Collar Coder on YouTubeBlue Collar Coder on DiscordReach out via emailTweet at us on X @front_end_fireFollow us on Bluesky @front-end-fire.comSubscribe to our YouTube channel @Front-EndFirePodcast

Zach is joined by Erin Luckhardt, Michele Deming, and their former student Eve Willoughby, to talk about CTE and using the MCP model to prepare students with real-world career experience Show Notes Kareem on the Cult of Pedagogy podcast: Everything You Need to Know About Building a Great Screencast Video (https://www.cultofpedagogy.com/screencast-videos/) How to Create a Self-Paced Classroom (https://www.cultofpedagogy.com/self-paced-how-to/) How to Set Up Mastery-Based Grading in Your Classroom (https://www.cultofpedagogy.com/mastery-based-grading/) MCP Podcast episode 239: Wavio (with Dana Kravchick) (https://podcast.modernclassrooms.org/239) MCP Podcast episode 72: CTE, with Evin Jarrett (https://podcast.modernclassrooms.org/72) DCI students' work on PBS, CSPAN: A look inside a D.C. retail village helping black businesses rebound from the pandemic (https://www.pbs.org/newshour/show/a-look-inside-a-d-c-retail-village-helping-black-businesses-rebound-from-the-pandemic) Run, Hide, Fight: Growing up under the gun (https://www.pbs.org/newshour/press-releases/run-hide-fight-growing-up-under-the-gun-a-new-documentary-from-14-student-reporters-and-pbs-news-student-reporting-labs) Dear Mr. President, We want Statehood (https://www.c-span.org/program/public-affairs-event/studentcam-2025-2nd-prize-hs-e-winner-dear-mr-president-we-want-statehood/656669?_gl=1*122m5wu*_ga*NzIyODIwNzg1LjE3NTY1NjYwMTM.*_ga_MZ1V6F99FJ*czE3NTY1NjYwMTIkbzEkZzEkdDE3NTY1NjYyMDQkajQ5JGwwJGgw) MCP research on teacher efficacy (and other impacts) (https://jscholarship.library.jhu.edu/items/8fcdbb7c-4adb-49c7-b8b4-2893dcdeeb1d) Connect with Erin, Michele, and Eve by email, and find Erin and Michele in the MCP Mentor Directory Erin: luckhardte@charemisd.org (mailto:luckhardte@charemisd.org) Michele: coffeecornerconsulting@gmail.com (mailto:coffeecornerconsulting@gmail.com) Eve: evewilloughby22@gmail.com (mailto:evewilloughby22@gmail.com) Contact us, follow us online, and learn more: Email us questions and feedback at: podcast@modernclassrooms.org (mailto:podcast@modernclassrooms.org) Listen to this podcast on Youtube (https://www.youtube.com/playlist?list=PL1SQEZ54ptj1ZQ3bV5tEcULSyPttnifZV) Modern Classrooms: @modernclassproj (https://twitter.com/modernclassproj) on Twitter and facebook.com/modernclassproj (https://www.facebook.com/modernclassproj) Kareem: @kareemfarah23 (https://twitter.com/kareemfarah23) on Twitter Toni Rose: @classroomflex (https://twitter.com/classroomflex) on Twitter and Instagram (https://www.instagram.com/classroomflex/?hl=en) The Modern Classroom Project (https://www.modernclassrooms.org) Modern Classrooms Online Course (https://learn.modernclassrooms.org) Take our free online course, or sign up for our mentorship program to receive personalized guidance from a Modern Classrooms mentor as you implement your own modern classroom! The Modern Classrooms Podcast is edited by Zach Diamond: @zpdiamond (https://twitter.com/zpdiamond) on Twitter and Learning to Teach (https://www.learningtoteach.co/) Special Guests: Erin Luckhardt, Eve Willoughby, and Michele Deming.

In this episode of the TestGuild podcast, Joe Colantonio sits down with Ben Fellows, founder of LoopQA and QA thought leader, to explore how AI is reshaping test automation. Ben shares lessons from his popular AI test automation workshops, diving deep into topics like: How AI turns hours of page object coding into minutes Why “augmented coding” beats “vibe coding” for serious QA work Practical ways teams can leverage Cursor, Playwright, and AI to boost productivity What QA leaders need to know about shifting roles, scaling code reviews, and IT security concerns Key trends coming in 2026 that could redefine how we write tests Whether you're curious about AI's real impact on QA, looking for ways to speed up your automation, or wondering what's next for Playwright and MCP, this conversation will give you actionable insights and inspiration.

At VMware Explore in Las Vegas, the buzz wasn't just about generative AI, but about where and how it should run. My guest is Tasha Drew, Director of Engineering for the AI team in the VMware Cloud Foundation division at Broadcom, who has been at the center of this conversation. Fresh off the main stage, where she helped debut VMware's new Private AI Services and Intelligent Assist for VMware Cloud Foundation, Tasha joins me to unpack what these announcements mean for enterprises grappling with privacy, cost, and integration challenges. Tasha explains why private AI is resonating so strongly in 2025, outlining the three pillars that define it: protecting sensitive intellectual property, managing regulated or high-value data, and ensuring role-based control of fine-tuned models. She shares how organizations often start their AI journey in the public cloud, but as experimentation turns to production, cost pressures, data compliance, and proximity to data drive them toward private AI. We also dive into VMware's own evolution toward building an AI-native private cloud platform. Tasha highlights the journey from deep learning VMs and Jupyter notebooks to full AI platform services that empower IT teams to deliver models efficiently, save money, and accelerate deployment of retrieval-augmented generation (RAG) applications. She introduces Intelligent Assist for VMware Cloud Foundation, an AI-powered guide that helps teams navigate complex deployments with context-aware support and step-by-step instructions. Beyond the technology, Tasha reflects on the broader ecosystem shifts, from partnerships with NVIDIA and AMD to the role of Model Context Protocol (MCP) in breaking down integration barriers between enterprise systems. She believes MCP represents a turning point, enabling seamless workflows between platforms that historically lacked incentive to work together. This conversation captures a pivotal moment where private AI is moving from theory into enterprise adoption. For leaders weighing their next move, Tasha provides both the strategic framing and the technical insight to understand why private AI has become one of the most talked-about forces shaping enterprise IT today.

In this episode of the Shift AI Podcast, host Boaz Ashkenazy is joined by Taylor Black, Director of AI and Venture Ecosystems in Microsoft's CTO Office. With a background as a B2B SaaS founder and deep tech venture studio leader, Taylor brings a rare blend of startup vision and enterprise expertise to the AI conversation.Together, they explore the rise of agentic workflows, protocols like MCP, and the shifting interface of software in the age of AI. Taylor also reflects on the philosophical and economic implications of AI's rapid evolution—from abundant intelligence to human decision-making limits. If you're curious about how Microsoft thinks about AI agents, or what the future of work might actually feel like, this is an episode you won't want to miss.Chapters:[00:00] The Promise of AI and Collective Problem Solving[00:32] Intro: Meet Taylor Black of Microsoft[01:54] Inside the CTO's Office and Innovation Labs[03:53] From SaaS Founder to Deep Tech Studio Leader[05:38] Agentic Workflows: Beyond the Hype[08:46] Ecosystems, Authority, and Agent Infrastructure[11:12] MCP: The Protocol Standard for AI Agents[15:24] Microsoft's Vision of Agentic Interfaces[18:34] Designing for Human Capacity in the AI Age[23:15] The Hidden Risks and Philosophical Impacts of AI[27:09] Scarcity vs Abundance: New Frontiers in Work[29:12] Final Thoughts: A Future of Abundant IntelligenceConnect with Taylor BlackLinkedIn: https://linkedin.com/in/blacktaylor/Connect with Boaz AshkenazyLinkedIn: https://linkedin.com/in/boazashkenazyX: @boazashkenazyEmail: info@shiftai.fmThe Shift AI Podcast is syndicated by GeekWire, and we are grateful to have the show sponsored by Augmented AI Labs.  Our theme music was created by Dave Angel.

You got duped.The MIT '95 % of AI pilots fail' study has taken over the internet, and it's one of the worst studies I've ever read. (And I've read thousands.) ↳ So, what's the truth?↳ Is AI a bubble that's about to pop? ↳ Why is this study rubbish? ↳ And how does it impact you? Join us and we'll dish it all.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:MIT AI Study Claims 95% Failure RateBreakdown of MIT Study MethodologyImpact of Viral MIT AI Study HeadlinesFlaws in MIT Study ROI MeasurementComparison With Reputable AI ROI StudiesMIT Study's Biased Participant SelectionNanda Project Marketing in MIT ReportFive Major Red Flags in MIT AI ResearchBusiness Implications of Flawed AI Pilots DataHow Media Sensationalizes AI Study ResultsTimestamps:00:00 "MIT AI Study Critique"04:16 AI Investments Trigger Stock Market Decline06:37 "Host's Background Overview"10:58 Flawed AI Study Critique13:28 MIT Study Highlights AI Implementation Challenges18:58 AI Work Trends & ROI Insights20:17 "Crossing the Gen AI Divide"23:25 Flawed Study with Misleading Claims29:34 "Uncritical Reposting Spurs Fake Study"30:30 "Read Studies, Not Summaries"Keywords:MIT AI study, 95% AI pilot failure, enterprise AI pilots, generative AI ROI, AI pilot success rate, AI project failure, state of AI in business, gen AI divide, MIT Media Lab, AI investment, AI implementation challenges, AI return on investment, AI research methodology, AI study critique, AI marketing, Nanda project, AI vendor solutions, agentic web, MCP protocol, A2A protocol, Fortune article, AI media coverage, stock market impact, NVIDIA stock drop, Palantir, ARM stock, qualitative AI data, AI structured interviews, AI industry surveys, IDC AI research, Snowflake ESG report, McKinsey AI analysis, Microsoft Work Trend Index, Boston Consulting Group AI study, AI adoption rates, enterprise AI transformation, sample size in AI studies, research limitations, AI productivity impact, AI workflow automation, AI business decisions, AI bubble, AI reporting in media, AI pilot timeline, enterprise AI tools, AI agent capabilities, AI autonomy, custom AI solutions, AI study bias, marketing disguised as research, sensationalized AI studies.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

"If we were building Box today, what would we do?” Ben Kus (CTO @ Box) deconstructs their playbook for enterprise AI innovation. We cover their journey to reimagine & reorient the company to a new technical vision, how they run a “multi-speed” org that balances startup agility and & enterprise-grade stability, and their “platform first” approach to build AI features. Ben also explains why security/compliance was foundational from "day negative one" in their AI strategy, the evolution of agentic AI, determining the right guardrails for AI agents & the future of multi-agent systems, enterprise trends & more. ABOUT BEN KUSBen Kus is the Chief Technology Officer at Box, where he leads technology and AI strategy to help enterprises securely unlock insights from their unstructured data. Ben's career spans engineering, product leadership, and startup innovation—including co-founding Subspace (acquired by Box) and being an early employee at BigFix (acquired by IBM), where he later served as Chief Architect of Mobile Security. Ben holds a degree in Computer Science from UC Berkeley. ToolHive Unlocks the Full Value of MCP & Your AI AgentsSo you've invested in AI agents for code generation, but they're limited to experiments or even stuck on the shelf. To do real, valuable work, those AI agents need access to your data and systems.ToolHive helps you confidently connect the pieces by making it simple and secure for you to use the Model Context Protocol (MCP).ToolHive includes a pre-vetted registry of MCP servers, containerizes every MCP server for consistency and leans on built-in security to keep your secrets safe.Leaders trust ToolHive to put MCP into production and put their AI agents to work.ToolHive is open source, so get started for free at toolhive.dev Join us at ELC Annual 2025ELC Annual is the premier event for engineering leaders. This is our biggest event of the year: 1,000+ CTOs, VPs & Directors in San Francisco @ ELC Annual 2025 for two days of leadership breakthroughs, tactical peer learning & curated connections!

Moinul Khan, co-founder and CEO of Aurascape, joins the show to unpack what it takes to build a cybersecurity startup in the age of AI. With decades of experience at companies like Zscaler, Palo Alto Networks, and FireEye, Moinul shares why AI demands an entirely new security stack, how agentic AI is changing the game, and why prevention—not dashboards—must be at the heart of real solutions. If you're a tech leader navigating the future of AI and security, this is a conversation you won't want to miss.Key Takeaways• Traditional security stacks can't keep up with dynamic, evolving AI tools• Prevention-focused solutions matter more than dashboards or API visibility• Agentic AI is both an opportunity and a security challenge that startups must address• CISOs are rethinking consolidation and becoming more open to best-of-breed solutions in AI security• Building with a long-term prevention mindset creates stronger, more resilient startupsTimestamped Highlights00:37 — Aurascape's mission to deliver an all-encompassing AI security solution02:27 — The “aha” moment: why legacy firewalls and proxies can't secure AI08:23 — How Aurascape's vision has evolved from public AI tools to securing private and third-party applications13:17 — Agentic AI, MCP protocols, and why startups need to secure the next wave of AI agents16:44 — Best-of-breed vs consolidation: where the security market is really heading20:37 — Advice for founders: why prevention-first is the only real path to solving security problemsA standout moment“If you try to patch what you have built in the last 20 years, you will fail. If you want to secure AI, you have to build your entire stack from the ground up.” — Moinul KhanResources MentionedAurascape.aiPro TipDon't build for a quick exit. Focus on prevention, even if it's the harder road—it's what truly solves customer problems in cybersecurity.Call to ActionIf you enjoyed this episode, share it with someone exploring AI security. Subscribe or follow the show for more conversations with the builders shaping the future of tech.

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Interview with Harish Peri from Okta Oktane Preview: building frameworks to secure our Agentic AI future Like it or not, Agentic AI and protocols like MCP and A2A are getting pushed as the glue to take business process automation to the next level. Giving agents the power and access they need to accomplish these lofty goals is going to be challenging, from a security perspective. How do put AI agents in the position to perform broad tasks autonomously without granting them all the privileges? How do we avoid making AI agents a gold mine for attackers - the first place they stop once they hack into our companies? These are some examples of the questions Okta aims to answer at this year's Oktane event, and we aim to kick off the conversations a little early - with this interview! Segment Resources: Check out securityweekly.com/oktane for all our live coverage during the event this year! More information about the event and how you can attend can be found here: https://www.okta.com/oktane/ AI at Work 2025: Securing the AI-powered workforce Topic - Indirect Prompt Injection Getting Out of Hand Reports of indirect prompt injection issues have been around for a while. Of particular note was Michael Bargury's Living off Microsoft Copilot presentation from Black Hat USA 2024. Simply sending an email to a Copilot user could make bad stuff happen. Now, at Black Hat 2025, we've got more: the ability to plunder any data resource connected to ChatGPT (they call these integrations "Connectors") from Tamir Ishay Sharbat at Zenity Labs. The research is titled AgentFlayer: ChatGPT Connectors 0click Attack. Looks like Google Jules is also vulnerable to what the Embrace the Red blog is calling invisible prompts. Sourcegraph's Amp Code is also vulnerable to the same attack, which encodes instructions to make them invisible. What's really going to ruffle feathers is the fact that all these companies know this stuff is possible, but don't seem to be able to figure out how to prevent it. Ideally, we'd want to be able to distinguish between intended instruction and instructions injected via attachments or some other means outside of the prompt box. I guess that's easier said than done? News Finally, in the enterprise security news, Drones are coming for you… to help? One of the most powerful botnets ever goes down Phishing training is still pointless Microsoft sets an alarm on its phone for 8 years from now to do post-quantum stuff vulns galore in commercial ZTNA apps GenAI projects are struggling to make it to production Adblockers could be made illegal - in Germany Windows is getting native Agentic support Automating bug discovery AND remediation? Public service announcement: time is running out for Windows 10 All that and more, on this episode of Enterprise Security Weekly. Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw-421

Interview with Harish Peri from Okta Oktane Preview: building frameworks to secure our Agentic AI future Like it or not, Agentic AI and protocols like MCP and A2A are getting pushed as the glue to take business process automation to the next level. Giving agents the power and access they need to accomplish these lofty goals is going to be challenging, from a security perspective. How do put AI agents in the position to perform broad tasks autonomously without granting them all the privileges? How do we avoid making AI agents a gold mine for attackers - the first place they stop once they hack into our companies? These are some examples of the questions Okta aims to answer at this year's Oktane event, and we aim to kick off the conversations a little early - with this interview! Segment Resources: Check out securityweekly.com/oktane for all our live coverage during the event this year! More information about the event and how you can attend can be found here: https://www.okta.com/oktane/ AI at Work 2025: Securing the AI-powered workforce Topic - Indirect Prompt Injection Getting Out of Hand Reports of indirect prompt injection issues have been around for a while. Of particular note was Michael Bargury's Living off Microsoft Copilot presentation from Black Hat USA 2024. Simply sending an email to a Copilot user could make bad stuff happen. Now, at Black Hat 2025, we've got more: the ability to plunder any data resource connected to ChatGPT (they call these integrations "Connectors") from Tamir Ishay Sharbat at Zenity Labs. The research is titled AgentFlayer: ChatGPT Connectors 0click Attack. Looks like Google Jules is also vulnerable to what the Embrace the Red blog is calling invisible prompts. Sourcegraph's Amp Code is also vulnerable to the same attack, which encodes instructions to make them invisible. What's really going to ruffle feathers is the fact that all these companies know this stuff is possible, but don't seem to be able to figure out how to prevent it. Ideally, we'd want to be able to distinguish between intended instruction and instructions injected via attachments or some other means outside of the prompt box. I guess that's easier said than done? News Finally, in the enterprise security news, Drones are coming for you… to help? One of the most powerful botnets ever goes down Phishing training is still pointless Microsoft sets an alarm on its phone for 8 years from now to do post-quantum stuff vulns galore in commercial ZTNA apps GenAI projects are struggling to make it to production Adblockers could be made illegal - in Germany Windows is getting native Agentic support Automating bug discovery AND remediation? Public service announcement: time is running out for Windows 10 All that and more, on this episode of Enterprise Security Weekly. Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw-421

Confused by AI jargon and unsure which tools actually move the needle for your business? We break down the real differences between traditional algorithms, large language models (LLMs), and agents — including agentic AI — and give practical guidance leaders can use now.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Choosing AI: Algorithms vs. AgentsUnderstanding AI Models and AgentsUsing Conditional Statements in AIImportance of Data in AI TrainingRisk Factors in Agentic AI ProjectsInnovation through AI ExperimentationEvaluating AI for Business SolutionsTimestamps:00:00 AWS AI Leader Departs Amid Talent War03:43 Meta Wins Copyright Lawsuit07:47 Choosing AI: Short or Long Term?12:58 Agentic AI: Dynamic Decision Models16:12 "Demanding Data-Driven Precision in Business"20:08 "Agentic AI: Adoption and Risks"22:05 Startup Challenges Amidst Tech Giants24:36 Balancing Innovation and Routine27:25 AGI: Future of Work and SurvivalKeywords:AI algorithms, Large Language Models, LLMs, Agents, Agentic AI, Multi agentic AI, Amazon Web Services, AWS, Vazhi Philemon, Gen AI efforts, Amazon Bedrock, talent wars in tech, OpenAI, Google, Meta, Copyright lawsuit, AI training, Sarah Silverman, Llama, Fair use in AI, Anthropic, AI deep research model, API, Webhooks, MCP, Code interpreter, Keymaker, Data labeling, Training datasets, Computer vision models, Block out time to experiment, Decision-making, If else conditional statements, Data-driven approach, AGI, Teleporting, Innovation in AI, Experiment with AI, Business leaders, Performance improvements, Sustainable business models, Corporate blade.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner