Podcasts about agentic

What separates an impressive agentic AI demonstration from a deployment that produces measurable business value across an entire company? In this episode, I speak with Frank Theisen, Vice President of IBM Technology across Europe, the Middle East and Africa, about how businesses can move AI agents beyond isolated pilots and into the processes where work actually happens. Frank believes the conversation has changed considerably. Most large companies are deploying some form of AI, yet many still struggle to demonstrate a significant commercial return. The difference comes from connecting AI with end-to-end business processes rather than creating another assistant that sits outside the systems employees use every day. IBM has attempted to prove this internally through its "client zero" approach, using its own technology across human resources, IT, procurement, sales and software development before taking those practices to customers. The company reports that AI, automation and hybrid cloud have contributed to $4.5 billion in productivity gains over three years. Frank explains how IBM's AskHR service handles common employee inquiries and helps managers complete administrative tasks without learning how to operate several separate enterprise applications. IBM reports that AI now resolves 94 percent of common HR requests automatically, while similar work is taking place across IT support and procurement. The discussion then turns to orchestration. As companies acquire agents from multiple software providers, the problem becomes far larger than creating individual assistants. Businesses need to understand how agents communicate, which systems they can access, what identities they use and who remains accountable for their actions. Frank expects the number of applications, agents and non-human identities to grow rapidly. Without orchestration and governance, companies risk recreating the same application sprawl they have spent years attempting to reduce, this time with software capable of making decisions and generating additional code. Data presents another barrier. Publicly trained models rarely contain the proprietary information that gives a company its commercial advantage. That information remains distributed across databases, applications, mainframes and cloud services. Frank argues that enterprises need a governed, federated way to bring AI to their data without repeatedly copying everything into another repository. We also discuss digital sovereignty across Europe and the Middle East. Frank describes sovereignty as a matter of control across data, operations and technology. Companies need to decide which workloads require isolation, which regulations apply and where dependence on one provider could limit their future choices. Wimbledon provides a timely example of these principles in practice. IBM Bob helped modernize the tournament's digital platform by mapping and migrating approximately 15,000 articles, videos, photographs and related metadata. IBM says work that would traditionally require four or five specialists over several months was completed by one engineer within four weeks, with the assets themselves extracted in 47 minutes. Frank closes with three practical priorities. Understand where AI could affect the business, determine how successful use cases can be automated across complete processes, then address security, governance and provider dependence before expanding them. If your company already has dozens of AI pilots, should the next investment create another agent or coordinate the ones you already have? Listen to the episode and share your thoughts with me.

Shane Colella, an Emmy-winning cinematographer turned marketing director at automation firm Westfalia Technologies, makes the case that the agentic era has no historical analog — and that the marketers who win won't wait for permission to find out. He walks through the agentic infrastructure he's actually building, from research dashboards to a Claude-and-n8n pipeline that erases hours of list-building, and argues the real bottleneck isn't technology but getting everyone else on board. Along the way he reframes the fear of lost jobs and vanishing entry-level roles as a perception problem, and lands on a provocation: this moment belongs to disciplined creatives with the clearest vision.

JC Bonilla is joined by Andrew Ramsammy, President of Vermont College of Fine Arts, for a deep dive into what it means to lead in the era of AI, especially agentic AI. JC sets the stage for a conversation ranging from the challenges of navigating a college presidency during the pandemic to the transformative effects of affiliating with CalArts. Andrew shares his journey from board member to president and describes how AI, far from being just a technological add-on, demands a renewed focus on agency and intentionality in leadership. Related Link: https://www.a16z.news/p/the-next-ai-goldrush-tokens-loops - - - -Connect With Our Co-Host:Dr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/About The Enrollify Podcast Network:Higher Intelligence is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too! Enrollify is made possible by Element451. Learn more at element451.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The following article of the Finance & Fintech industry is: “Agentic AI: The Smartest Farmhand No One Sees (Yet)” by Hugo Garduño, CEO and Co-Founder, Verqor. (AA1457)

Linus delivers a blunt verdict on AI in the Linux kernel, Chris finds the remote Linux desktop that finally works, and Brent gives his notes system a serious rebuild.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:Web Boost — Send us a boost via sats or USD

CRM is finally moving closer to where sellers actually work.In this episode, John sits down with Ryan Braastad from Microsoft to talk about agentic CRM, AI adoption, productivity tools, and why the old system-of-record model has created so much friction for sales teams. Ryan shares lessons from Forrester, Yammer, Salesforce, his own startup, and Microsoft as he explains how the next wave of CRM can move closer to the flow of work.If you are in sales leadership, RevOps, enablement, or go-to-market strategy, this conversation gives you a practical look at what AI should actually do for reps: reduce admin, improve data quality, support better habits, help leaders coach more effectively, and give sellers more time to focus on customers and revenue.Want to prepare your sales team for the next version of CRM before the market moves again? Visit www.jbarrows.com and learn how you can Make It Happen.What You'll LearnWhy CRM is shifting from a system of record to a system of actionHow AI can support sellers inside the tools they already use every dayWhy CRM adoption has often failed to give reps a clear benefitHow sales leaders can think about revenue per seller as AI becomes part of the workflowWhy AI adoption should start with one specific use case, not a company-wide free-for-allWhat agentic CRM actually means and why it is different from bolting AI onto old softwareRyan Braastad is a customer-obsessed tech marketing leader at Microsoft, where he works on product strategy across Dynamics 365 and Microsoft 365, helping shape the future of agentic CRM and AI-powered productivity tools. His background spans Forrester, Yammer, Salesforce, and a self-founded fitness startup, with experience across product marketing, go-to-market strategy, productivity, collaboration, enterprise social, and business applications.Connect with Ryan Braastad:LinkedIn: https://www.linkedin.com/in/rbraastad/John Barrows is a sales trainer, speaker, and founder of JB Sales with over 25 years of experience in the industry. He has made hundreds of cold calls a week, led startups to acquisition, and trained high-performing teams at companies like Salesforce, LinkedIn, Amazon, and Okta. Through JB Sales, John focuses on practical sales execution—helping reps fill pipeline, close deals, and build trust with buyers in today's AI-driven sales environment.Connect with John Barrows:LinkedIn: https://www.linkedin.com/in/johnbarrows/ Instagram: https://www.instagram.com/johnmbarrows/ TikTok: https://www.tiktok.com/@johnmbarrows Check out John's Membership: https://go.jbarrows.com/ Join John's Newsletter: https://www.jbarrows.com/newsletter

Episode web page: https://bit.ly/4fjSOKR Episode summary: In this episode of Insights Unlocked, Mike Mace chats with Chase Keaten, senior research manager at Walmart, about the tension shaping how researchers, designers, and builders are learning to work with AI. Chase shares why he thinks the sharpest divide in tech right now isn't about tools—it's about two competing mindsets: an "always push forward" view of AI and a more cautious, human-centered one. He explains why holding both views at once, rather than picking a side, tends to lead to better decisions. The conversation also digs into the much-hyped "builder model," where one person plus a stack of AI agents is expected to replace a whole product team. Chase makes the case for why healthy conflict between humans—not simulated conflict from AI—is often what actually makes products better. He and Mike also explore why trust, not usability, may be the real currency of agentic AI, and Chase closes with practical advice for researchers and designers under pressure to "do something with AI" right now. You'll learn: Why two opposing views of AI—full-speed-ahead and human-centered caution—can coexist productively Why the "builder model" struggles to replicate the healthy conflict that makes products better How AI is reshaping design work, and why speed often comes at the cost of context and novelty Why trust, not usability, is becoming the key metric for agentic AI How a "personalization butler" could change the relationship between retailers and customers Practical advice for researchers and designers who feel pressure to use AI without a clear plan Resources & links Chase Keaton on LinkedIn (https://www.linkedin.com/in/chasekeaten/) Mike Mace on LinkedIn (https://www.linkedin.com/in/mikemace/) Nathan Isaacs on LinkedIn (https://www.linkedin.com/in/nathanisaacs/) Learn more about Insights Unlocked: https://www.usertesting.com/podcast

Michael Clark, director of Threat Research at Sysdig, talks about a recent LLM-driven extortion campaign dubbed JADEPUFFER, touching on how the team discovered it, how attackers' “intent is now legible,” and what that means for defenders.LinkSysdig research: https://www.sysdig.com/blog/jadepuffe...

Fewer than 100 companies have scaled enterprise AI from pilots to production to capture great value. Alexander Sukharevsky, who leads QuantumBlack, McKinsey's AI practice, joins Michael Krigsman to lay out the repeatable recipe behind those results and why the winners earn roughly three dollars back for every dollar invested. The conversation covers what capturing AI value really requires, why the CEO and board must own the transformation, and how to lead a hybrid workforce where agents work as colleagues, not tools.======This episode brought to you by Gartner IT Symposium/Xpo™: https://cxo.news/KGg8XY======YOU'LL DISCOVER✅ Why fewer than 100 companies captured two-thirds of AI's value, and what they did differently✅ The repeatable recipe: focus a few domains, ready your data, rewire architecture, and fix the economics✅ Why AI transformation must be led by the CEO and board, not handed to the CTO or chief digital officer✅ How to treat AI agents as accountable colleagues, and who stays accountable for the outcomes✅ Why reinventing a domain beats bolting AI onto an existing process✅ How the winners pursue cost savings and top-line reinvention at the same time✅ Why governance and digital trust belong in from day one, with adults in the room on ethics✅ How expertise and judgment become more valuable as agents speed up the work⏱️ TIMESTAMPS0:00 The repeatable recipe for AI value8:27 Treat agents as colleagues, not tools13:42 Why the CEO must own the transformation18:05 From token maxing to value maxing22:01 Managing a hybrid team of agents23:30 A flexible architecture for changing models26:25 Governance and digital trust from day one30:59 Cost savings versus reinventing the top line34:46 Human focus, judgment, and accountability44:12 Redesign workflows instead of bolting on AI46:24 Careers and apprenticeship in an agent world50:47 What real CEO ownership looks like

ClickLock stealer uses kill loops to force password entry TELEPUZ malware uses ClickFix to steal data and run commands 1Password's new Agentic Mode lets Claude log into accounts Notes: https://cisoseries.com/cybersecurity-news-clicklocks-kill-loops-telepuz-clickfix-tricks-1passwords-agentic-login/ Huge thanks to our sponsor, ThreatLocker Every security leader is being asked the same question right now: How do we enable innovation without creating unnecessary risk? That's the challenge behind cloud adoption. Behind AI. Behind automation. And behind every major technology decision. ThreatLocker helps organizations take a Zero Trust approach to that challenge—giving them greater control over what can execute, what can access their environment, and what users and applications are allowed to do. That's why ThreatLocker is proud to support Cyber Security Headlines. Because security works best when innovation and control move together.

Amir Rasekh, Managing Director of Nectar360, joins That's What I Call Marketing to discuss customer insight, retail media, AI-powered measurement and how agentic commerce could change the way people shop.This episode explains how retail media has evolved from loyalty data, targeted coupons and direct mail into a sophisticated, measurable channel spanning in-store, onsite and offsite media.In this episode, we cover:– Why customer insight remains the foundation of effective retail media– How Nectar360 connects loyalty, insight and retail media in one customer-focused system– Why brands hold retail media to a higher measurement standard than traditional channels– How Nectar360 measures incrementality and multi-touch attribution across omnichannel campaigns– How its AI-powered Pollen platform makes campaign planning, creative production and measurement faster– What agentic commerce could mean for retailers, marketers and customer decision-making– Why AI should support better human relationships rather than remove the people involvedAmir also shares early results from Pollen, including 2.5 times more incremental sales from omnichannel campaigns and evidence that retail media can influence the middle and upper parts of the marketing funnel, rather than acting only as a conversion channel.The conversation also explores an important tension for marketers: technology can make retail media simpler, faster and more measurable, but clients still expect strong relationships, expertise and human judgement. A useful listen for marketers interested in customer insight, retail media, marketing measurement, AI in marketing, incrementality, omnichannel strategy and the future of commerce.Timestamps00:00 Introduction01:27 Amir Rasekh's career in retail and Sainsbury's04:34 Building an insight-led culture05:00 What Nectar360 does today06:06 Why retail media suddenly became so prominent07:18 The fundamentals of retail media08:52 Why measurement expectations are increasing10:28 Introducing Nectar360's Pollen platform12:15 Are marketers rigorous enough when testing campaigns?13:33 How AI accelerated retail media technology14:21 AI audience building, creative scoring and production14:38 Cutting creative production from weeks to 90 seconds14:59 Early results from omnichannel retail media16:10 Retail media as a brand-building channel17:05 How customer shopping behaviour is changing18:00 What agentic commerce means for retail20:03 Will consumers shop through ChatGPT and AI agents?22:16 Why physical stores still matter24:00 How Nectar360's teams are using AI25:16 Building AI literacy across an organisation25:47 Why clients do not want technology to replace people26:04 Closing thoughtsThat's What I Call Marketing is the podcast for marketers who care about brand, B2B, creativity, effectiveness and the future of the profession.Follow the show for more conversations with CMOs, marketing leaders, agency leaders, professors, authors, thinkers and practitioners.Find more episodes at: https://www.thatswhaticallmarketing.comThis Cannes Sessions episode is produced in partnership with The Digital Voice.Find out more at: https://www.thedigitalvoice.co.ukThat's What I Call Marketing is where marketers come for real conversations about brand, B2B, creativity, effectiveness and the future of the profession.Hosted by Conor Byrne, the show features conversations with CMOs, marketing leaders, agency leaders, authors, thinkers and practitioners about what good marketing looks like in practice.Listen, follow and find more episodes at: https://www.thatswhaticallmarketing.comConnect with Conor on LinkedIn: https://www.linkedin.com/in/conorbyrneirl/If you enjoy the show, please follow, subscribe and leave a review. It helps more marketers find the conversations. Hosted on Acast. See acast.com/privacy for more information.

AI agents have become capable of reasoning across large amounts of data, calling tools, and taking sequences of actions autonomously. These qualities make them well suited to some of the most persistent pain points in DevOps, including the on-call engineer woken at 3 AM to diagnose an incident, the build failure that takes hours to The post Agentic DevOps at AWS appeared first on Software Engineering Daily.

Bhaskar Sunkara grew up in Delhi, India, and moved to the states when he started working. He has lived in San Fransisco for several decades now, and has spent a lot of his professional life building systems (infrastructure, observability and now, analytics). His prior startup, AppDynamics, was eventually acquired by Cisco. In general, he stays curious about how things work, and likes to deconstruct systems to figure out how they work. Outside of tech, he is a big sports fan, enjoying football, baseball, cricket and basketball. In fact, he grew up watching Michael Jordan and the bulls.Bhaskar noticed that business teams were drowning in dashboards, and as such, were not sure how to take the next steps in the business. He and his team realized that what people needed was not a retroactive view, but a proactive one - something more akin to a 24x7 analyst.This is the creation story of Bicycle AI.SponsorsUnblockedTECH DomainsMezmoBraingrid.aiLinkshttps://bicycle.ai/https://www.linkedin.com/in/bhaskarsunkara/Our Sponsors:* Check out Cash App and use my code CASHAPP10 for a great deal: https://cash.app* Check out Plaud AI and use my code CODESTORY for a great deal: https://plaud.aiAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Sometimes the biggest challenge isn't having enough data, it's knowing what to do with it.  As agentic AI moves to real-world deployment, our cities and towns are becoming smarter. The mountain town of Vail, Colorado is just one such example of where artificial intelligence is helping streamline services, improve decision making and enhance experiences for residents and visitors alike. This week, Technology Now welcomes Robin Braun, VP, AI Business Development, Hybrid Cloud, to the show to find out:  • How AI has been successfully used in Vail to improve outcomes for staff and consumers• Why breaking down silos helps instigate necessary communication between departments• Why AI is more than just a productivity tool, it's an essential part of modern day infrastructure 

AI agents have become capable of reasoning across large amounts of data, calling tools, and taking sequences of actions autonomously. These qualities make them well suited to some of the most persistent pain points in DevOps, including the on-call engineer woken at 3 AM to diagnose an incident, the build failure that takes hours to The post Agentic DevOps at AWS appeared first on Software Engineering Daily.

The provided texts examine the evolving landscape of artificial intelligence in business, focusing on the critical intersection of quality control, risk management, and regulatory compliance. One primary source details how ecommerce brands combat AI hallucinations through multi-layered architectures that prioritize human escalation and strict data grounding over mere language model capabilities. Another source outlines the complex regulatory environment of 2026, emphasizing that organizations must govern the sensitive data AI accesses rather than just the models themselves to meet legal obligations. Together, these excerpts highlight the dangers of "shadow AI" and the necessity of technical safeguards like authenticated access and tamper-evident audit trails. Ultimately, the sources advocate for a shift from experimental adoption to a defensible governance framework that protects both brand reputation and consumer privacy.

In this podcast episode, Dr. Jonathan H. Westover talks with Kathi Enderes about The Josh Bersin Company roadmap for the embracing of agentic AI into HR by 2030.Kathi Enderes is Senior Vice President of Research and a global industry analyst at the human capital advisory firm The Josh Bersin Company, the world's largest community for HR. She has over 20 years global experience in human capital, talent and performance management, and change management from consulting with IBM, PwC and EY and industry, working with companies of various sizes, from Fortune 50 companies to start ups, in multiple industries including technology and healthcare, and leading research on all topics of HR, talent and technology. She is passionate about making work better and more meaningful. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

For episode 753 of the BlockHash Podcast, host Brandon Zemp is joined by Anton Lobintsev, Co-founder of Mosta. Anton is a seasoned entrepreneur with over 20 years in the technology industry, building companies at the intersection of infrastructure, compliance, and product innovation. Mosta is AI-native business banking for global teams and AI agents, built on SquareFi's financial infrastructure. It combines accounts, cards, cross-border payments, invoicing, and stablecoin infrastructure in one platform.

The chip design industry continues to push the frontier of semiconductor power, performance and area. On this episode of the Tech Disruptors podcast, Synopsys Vice President of AI and Machine Learning Thomas Andersen discusses the evolution of the company's AI portfolio. He joins Bloomberg Intelligence analyst Niraj Patel to explain how Synopsys progressed from leveraging AI through reinforcement learning across design, verification and test workflows to introducing AgentEngineer, a multi-agent AI-orchestrated workflow. Andersen also discusses the intersection of simulation and electronic design automation (EDA), the role of humans in the loop for chip design, AI's current shortcomings, the pace of AI-tool adoption, the industry's path beyond Moore's law and much more.

**AI for Sales Podcast: Unlocking Customer Expectations and Human Trust with John Hetherington**Join us in this episode as John Hetherington, AI strategist and technology leader from Calgary, shares insights into how AI is transforming customer experience, the importance of human touch, and the future of AI-driven workflows. Discover practical advice on balancing automation with personal interactions and learn about emerging AI tools shaping sales strategies. Main topics include: How AI elevates customer expectations and enhances experiences The role of personal storytelling and individualism in sales success Using AI to streamline processes and identify new opportunities Addressing misconceptions and ethical considerations of AI Balancing automation with human relationship building The future of agentic AI and workflow management tools Developing skills for prompt engineering and AI mastery Timestamps: 00:00 - Welcome & introduction to John Hetherington and AI for Sales 00:29 - John's background: from UK to helping CFOs and CIOs accelerate growth 01:33 - The journey of sales roles from BDR to leadership 02:47 - Impact of AI on customer experience and expectations 03:29 - Raising the bar in customer service through AI 04:23 - Moving beyond information to insights and personalized experiences 05:09 - The importance of personal stories and individualism in sales 05:50 - Success stories and ROI examples of AI in customer engagement 06:33 - How AI saves time but requires strategic application 07:02 - AI's role in collaborative planning and customer empowerment 08:03 - Using AI for rapid research and list-building in government and public sector projects 08:56 - Risks of AI-driven outreach flooding inboxes and maintaining quality 09:47 - Common misconceptions about AI's impact on jobs and tasks 10:06 - The real question: how humans can leverage AI to do better work 11:17 - Repositioning sales and marketing as value sharing, not just selling 12:04 - Balancing personal touch with AI-driven automation 14:25 - Trust building through face-to-face and meaningful interactions 15:55 - Relationship nurturing and long-term engagement 18:23 - Falling in love with the customer's problem rather than the solution 20:40 - Emotional decision-making in high-stakes, personalized sales 21:07 - Emerging AI trends: agentic AI and workflow orchestration 22:55 - Practical first steps: choosing one AI tool and learning it deeply 23:49 - Developing skills in prompt engineering and asking the right questions 24:52 - Treating AI as a new team member: training, supervising, and inspecting 25:38 - Final advice for mastering AI and maintaining human trust Twitter Stay tuned for more insights on integrating AI into sales and customer success strategies! The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

What's up fraud fighters, and welcome back to Fraud Forward!Over the last few months, I've had more conversations about agentic payments than just about any other topic. At conferences, on webinars, and in discussions with some of the smartest people in payments, compliance, and fraud, one thing has become clear to me: I think we're asking the wrong question.Most people want to know whether AI will start moving money.The question I keep coming back to is this: How do fraud teams investigate transactions when software starts making decisions?In this solo episode, I pull together insights from recent conversations with Matt Vega, Mary Ann Miller, and Matt Janiga to explore what agentic commerce really means for fraud investigations, SAR reporting, and the future of financial crime investigations. We talk about why traditional fraud models have always assumed a human initiated the payment, why that assumption no longer holds, and what investigators will need to understand when AI agents begin making decisions on behalf of customers.The technology may be changing, but the principles of good fraud prevention are not. Documentation, audit trails, authority management, explainability, and strong transaction monitoring will become even more important as agentic payments move from theory to reality.What you'll hear in this episode:Why agentic payments are fundamentally different from traditional payment automation.How agentic commerce changes the way fraud teams investigate payment fraud.Why audit trails, attribution, and explainability will become essential during fraud investigations.How SAR reporting and AML investigations may evolve as AI becomes part of the payment decision process.Why regulators are focused on enabling innovation safely instead of slowing it down.The three questions every fraud investigator should begin asking today to prepare for the future.You should listen to this episode if you:Work in fraud prevention, AML compliance, investigations, or financial crime.File suspicious activity reports or conduct SAR reporting.Lead fraud operations, transaction monitoring, or payment investigations.Are evaluating how AI and agentic commerce will affect your institution.Want practical steps your team can begin implementing today instead of waiting for the rulebook to catch up.

In this episode, I sit down with Scott Duncan, a chemical engineer who built an agentic manufacturing troubleshooting assistant – without any coding background. We dive into the real-world challenges of process manufacturing and how AI is transforming the way plant issues are solved. Scott shares his journey from hands-on troubleshooting to leveraging large language models, knowledge graphs, and real-time data for smarter, faster problem-solving. We also debate the future of domain expertise in an AI-driven world and what it means for education and workforce development. Join me as we explore the potential – and the limitations – of AI in reshaping the future of industrial operations.

"Being on Shopify means you get access to agentic automatically, out of the box." Your store is already selling inside ChatGPT, Copilot, Gemini, and Shop, whether you've noticed or not. Aaron Glazer, Director of Product at Shopify, joins Kurt to explain Agentic Storefronts, the new Admin experience that finally makes that presence visible and controllable. The buyer behavior has already shifted. Shoppers now have long conversations with an AI about a whole use case, a camping trip, a problem, a gift, and arrive at your store already sold. Agentic Storefronts shows you the traffic, sales, and conversions from each AI channel, plus the real queries surfacing your products, so you can see where you rank and where you don't. Aaron and Kurt get into why this is the new SEO, why complete product data is the whole game, how Shopify Catalog structures your catalog for agents, what native checkout in an AI channel actually means, and why you stay the merchant of record with the customer relationship intact. Plus a bonus on Rollouts and SimGem heading into BFCM. SPONSORS Swym - Wishlists, Back in Stock alerts, & more getswym.com/kurt Cleverific - Smart order editing for Shopify cleverific.com Zipify - Build high-converting sales funnels zipify.com/KURT LINKS Agentic Storefronts: Shopify Admin > Agentic Storefronts (left nav) Shopify Catalog (for developers): build on the product discovery API Rollouts and SimGem: in Shopify Admin WORK WITH KURT Apply for Shopify Help ethercycle.com/apply See Our Results ethercycle.com/work Free Newsletter kurtelster.com The Unofficial Shopify Podcast is hosted by Kurt Elster and explores the stories behind successful Shopify stores. Get actionable insights, practical strategies, and proven tactics from entrepreneurs who've built thriving ecommerce businesses.

For episode 752 of the BlockHash Podcast, host Brandon Zemp is joined by Varun Choudhary, Co-Founder & Chief Executive Officer of ORO. Varun is an IIT graduate and entrepreneur with a proven track record of building and scaling ventures across global markets. At ORO, he leads the company’s strategic vision, product direction, and growth architecture, bringing a rare combination of technical depth, market instinct, and execution rigor.

As AI systems start acting on their own, the hardest security problem is no longer approving what a model outputs but governing the conditions under which it is allowed to act at all. Michael Chavira, co-founder of Axiologic Solutions, argues that most organizations confuse governance with security, writing policies and standing up AI councils that describe intent while leaving the enforcement layer, where a model actually touches data, underbuilt. His answer is to move humans out of the approve-every-action role and onto the loop, where they define the boundaries an agentic system runs inside and watch for it to step out.  That control is only as good as the data underneath it, and for most enterprises, the data is a weak point. Chavira makes the case that AI security is ultimately data security, since a model is only as trustworthy as the data feeding it, and he walks through why shadow AI, unlabeled data and untracked workarounds quietly undermine even well-governed systems. For tools that answer the same question differently each time, he recommends harness engineering and continuous data operations as the way to secure the system rather than chase every output. For links and resources discussed in this episode, please visit our show notes at https://www.forcepoint.com/resources/podcast/agentic-ai-humans-on-the-loop

As enterprise AI rapidly evolves from isolated assistants to autonomous systems capable of executing complex business processes, organizations are looking for practical ways to turn AI into measurable business outcomes. In this episode of Cloud Wars Live, Bob Evans speaks with Chris Leone, Executive Vice President of Oracle Applications and AI, Oracle about Oracle's latest innovations in Fusion Agentic Applications, the new Fusion Builder Experience, and AI Studio Skill. Leone explains how Oracle is combining enterprise applications with AI agents to automate work, empower both business users and developers, and help organizations accelerate AI adoption while maintaining enterprise-grade security and governance. AI That Delivers Outcomes The Big Themes: Outcome-Driven AI Changes Everything: Oracle's vision for agentic AI begins with a simple premise: enterprise software should no longer focus primarily on completing tasks — it should focus on delivering business outcomes. Leone explains that Oracle has intentionally designed Fusion Agentic Applications around measurable objectives rather than individual transactions. Instead of asking users to manually coordinate dozens of activities, organizations define a goal, such as reducing supplier spending or shortening inventory lead times, and the application orchestrates the work required to achieve it. Teams of AI agents collaborate, monitor progress, recommend next steps, and increasingly automate execution while keeping humans involved whenever appropriate. Autonomous Work Is Gradual: Oracle isn't advocating for immediate, fully autonomous enterprises. Instead, Leone introduces the idea of an "autonomy dial" that organizations can gradually increase as confidence grows. Initially, AI agents recommend actions while employees remain responsible for approvals and execution. Over time, companies can allow the system to automatically perform more routine work while humans supervise exceptions and strategic decisions. Leone illustrates this using Oracle's Sourcing Command Center, where customers establish objectives like lowering supplier costs or reducing lead times. The application identifies shortages, creates RFQs, manages supplier auctions, recommends winners, and continuously guides employees throughout the process. As organizations become more comfortable, more of these steps can execute automatically. This phased approach helps customers balance productivity gains with governance, compliance, and trust while steadily reducing repetitive work and allowing employees to concentrate on higher-value business decisions. Customers Are Moving Fast: Leone describes Oracle's customer base as spanning the full spectrum of AI adoption. Some organizations are already experimenting aggressively with Oracle's newest Builder Experience, posting demonstrations almost immediately after release. Others have successfully deployed Oracle AI capabilities into production, with more than 7,000 customers already using Oracle AI services. Still, others remain cautious, focusing primarily on traditional transactional systems while gradually evaluating AI opportunities. Despite these varying adoption rates, Leone believes Oracle must continue innovating at the leading edge because tomorrow's competition may come from AI-first startups rather than traditional enterprise software vendors. The Big Quote: "We're truly moving from this system of record that we've been delivering for many years to truly delivering outcomes for our customers." More from Chris Leone: Follow Chris Leone on LinkedIn or send a message via Oracle AI for Fusion Applications.   Visit Cloud Wars for more.

In this special episode of the AdTech Heroes podcast live from Cannes Lions 2026, Jon Wallett welcomes Charlotte Maines, Vice President, Devices Content & Advertising at Amazon.They discuss the rise of agentic and conversational ads, how shopping is changing, and what it means for advertisers when agents, not people, are the ones searching and deciding.Interested in being a guest? Contact us: adtechheroespodcast.com/contact

Qualify a lead, close a case, or walk into a renewal meeting fully briefed, all from the sales and service agents built into Dynamics 365. Ask a question and pull a grounded answer straight from your CRM and your calendar. Hand a prompt to Copilot Cowork and walk away with updated records, a finished presentation, and a drafted email, ready before your next meeting. Auto-fill a case description as you work, and walk into every quality review already scored against your team's framework. Eric Boocock, Dynamics 365 Principal Program Manager, shares how these agents move with you from first prospect touch to case resolution, right inside the apps you work in every day. Along the way, he explains the mechanics of how everything works and your options to customize the experience with your own skills and instructions.  ► QUICK LINKS:  00:00 - Agentic platform in Dynamics 365 01:03 - Sales Qualification & Opportunity Agents 01:44 - Case Management & Quality Evaluation Agents 02:25 - Sales Agent in action 04:30 - Copilot Cowork 05:44 - Automate repeated tasks 07:33 - Power behind agentic platform 08:50 - Custom skills via Power Apps + Dataverse 09:57 - Wrap up  ► Link References Get started at https://aka.ms/AgenticCXPlatform ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics  

In today's Cloud Wars Minute, I compare Google's ecosystem-first AI strategy with the hybrid deployment models of Microsoft and AWS.Highlights 00:03 — A crazy new trend here in 2026 has been AI deployment, or agent deployment, agentic transformation. The connection is this remarkable technology that all these AI companies have been pumping out with the desired business goals that business leaders are demanding. You see a couple of different approaches emerging here. 00:26 — The five big AI companies leading the way on this are Google Cloud, Microsoft, AWS, OpenAI, and Anthropic. The only one of those that is going with an exclusively partner ecosystem-led approach for these AI deployments is Google Cloud. I think the big thing is it's going 100% with its ecosystem partners for these AI deployments, for what Google Cloud calls agentic transformation. 01:51 — President, Global Partner Ecosystem, Kevin Ichhpurani has been a very successful in his efforts. He's also been a staunch supporter of this [approach], he says: "We're a technology company. We're really good at doing the technology, and we want to surround ourselves with force multiplying partners who are really good at the deployment. And Google Cloud will be connected with them in some ways." 03:16 — Partner-driven revenue was up 80%. Bookings driven by partners were up 100%, so they doubled. And sales of partner-created solutions on the Google Cloud Marketplace were up 90%. As high-growth as Google Cloud was in 2025, they're moving and growing, expanding at an even more blistering pace here in 2026. 04:36 — Google Cloud has said, "Hey, what we've been doing so far has been working really well. We're going to double down on that with lots of training and incentives for our partners," whereas AWS and Microsoft say, "You know what? We're going to keep working with partners. In some ways, we need to build our own capabilities and expertise." Visit Cloud Wars for more.

Bald füllt kein Mensch mehr Checkout-Formulare aus: KI-Agenten übernehmen die Produktsuche, treffen Kaufentscheidungen und bezahlen für uns. Doch was macht das mit der Zahlungsinfrastruktur dahinter – und welche Player werden aus der Kette gestrichen? Julius Danek ist Product Manager bei Stripe und arbeitet genau an dieser Zukunft. Am Rande der Stripe Tour in Berlin ordnet er ein, was Agentic Commerce wirklich bedeutet und warum es für Stripe eher Riesenchance als Bedrohung ist. Wir sprechen über die fünf Stufen des KI-Einkaufs (von der ausgefüllten Web-Form bis zur vollen Autonomie), über Machine Payments und Microtransactions im Cent-Bereich, warum Krypto und Stablecoins die perfekte Währung für Agenten sind, was das für Marktplätze, Marken und Vertrauen im Netz bedeutet – und wann das Ganze im Mainstream ankommt. Du erfährst... ...wie Agentic Commerce den Einkauf revolutioniert und welche Ebenen es gibt. ...welche Chancen und Herausforderungen Stripe in der Zukunft sieht. ...wie Machine Payments und Krypto die Zahlungswelt verändern. __________________________ ||||| PERSONEN |||||

Send us Fan MailAI is getting faster, cheaper, and easier to access, but that doesn't mean it's safe or ready to run your business unattended. We talk with Wilfred Morgan, an AI systems architect working at the front edge of enterprise AI automation and multi-agent orchestration, about what actually matters when you move beyond prototypes and put AI agents into production. If you've ever wondered why an AI rollout can look “successful” on a dashboard while quietly failing in the real world, this conversation is for you.We break down the jump from prompt-driven generative AI to agentic AI: systems that don't just write a good email, but can execute tasks, pull from multiple sources, and operate like structured digital workers. That power comes with a dependency most teams underestimate: context architecture. Clean data, clear processes, and well-curated knowledge artifacts become the fuel, and legacy data becomes drag. We also talk about the competitive reality that AI-native companies can build modern workflows from day one while larger organizations often wrestle with legacy systems, governance, and compliance overhead.Then we go straight at the risk side: subtle errors, misplaced trust, and why confidence can trick humans into believing incorrect outputs. Wilfred shares a practical evaluation-first mindset inspired by high-stakes domains like aviation and healthcare, plus a grounded checklist for small business owners using systems thinking to map the customer journey and decide where humans must stay in the loop.If this helped you think more clearly about AI automation, subscribe, share the episode with a friend, and leave a review so more builders and leaders can find it.Thanks for tuning in to this episode of Follow The Brand! We hope you enjoyed learning about the latest trends and strategies in Personal Branding, Business and Career Development, Financial Empowerment, Technology Innovation, and Executive Presence. To keep up with the latest insights and updates, visit 5starbdm.com.And don't miss Grant McGaugh's new book, First Light — a powerful guide to igniting your purpose and building a BRAVE brand that stands out in a changing world. - https://5starbdm.com/brave-masterclass/See you next time on Follow The Brand!

Legacy enterprises are facing a decisive shift from stalled pilots and fragmented data toward agentic systems that reshape customer experience, operations, and net‑new revenue.   Matt Renner, President and Chief Revenue Officer at Google Cloud, examines how leaders can move beyond early AI failures to build modern data foundations, orchestrate heterogeneous agents, and accelerate transformation in conversation with Daniel Faggella, Emerj CEO and Head of Research.   The discussion highlights capability‑driven ROI, structured AI governance, data modernization, agentic orchestration, and the emerging security imperatives shaping enterprise adoption.   To listen to the conversations other infrastructure and AI leaders in the Fortune 500 are tuned into, subscribe to the AI infrastructure podcast at emerj.com/inf1

In this episode, Denny and paaao discuss everything about Vultisig: what it is, its token, future plans, and much more.Swap now https://swap.thorchain.org/ THORChain is a decentralized crypto exchange. THORChain is the first and biggest DEX for Bitcoin. You can use any self custody wallet to swap and there's no KYC required.Timestamps:00:00:00 Intro00:03:00 Paaao starts00:04:00 What is Vultisig?00:05:00 37 chains supported — Vultisig was born from THORChain MPC/TSS technology00:06:00 Every Vultisig user is a mini THORChain ecosystem00:08:00 When will we have a proper referral fee on all swaps, not just THORChain?00:12:00 What API is used? Is it OpenOcean for Solana meme coins?00:13:00 Is there an MEV component?00:14:00 How are swaps routed for maximum efficiency?00:17:00 How is Vultisig positioned to take advantage of everything that's coming?00:19:00 bRUNE support and the acquisition of Station Wallet00:20:00 Station is being converted into a fully agentic wallet!00:21:00 CCL on Rujira makes a great case for agentic use00:23:00 As soon as THORChain came back, people started swapping again00:25:00 MiCA consequences — people fleeing to self-custody00:26:00 How do we capture these users?00:28:00 Help us connect to communities, THORChads! Private keys are toxic!00:30:00 We have a sophisticated SDK that we are hardening — Hermes Agent00:31:00 Your agent can interact with other agents00:33:00 Vultisig is a return to proper self-custody00:35:00 Vultisig is building for the future00:38:00 Our goal is to make the wallet super easy — please let us know what can be improved!00:39:00 Self-hosting a Vultisig server could be powerful for businesses00:42:00 Could the VULT token become a universal in-app gas token?00:43:00 We'd need more centralized accounting — interesting idea00:45:00 We don't want to mix AI with wallet setup to reduce attack vectors00:47:00 Everyone can use Vultisig however they want, but self-hosting means maintaining your own app00:47:30 Vultisig Marketplace — developers can create automations00:48:00 For the first time, you can use custodial infrastructure to DCA through automated workflows00:49:00 We are focusing primarily on the agentic side rather than the marketplace00:51:00 Fee percentage question00:52:00 Is Vultisig hiring?00:53:00 Everyone is welcome to join Discord and open a PR, but we're not hiring full-time00:54:00 How safe are AI agents with Vultisig?00:55:00 We are focused on guardrails and multiple security layers for AI agents00:57:00 AI agents have been our biggest challenge00:58:00 Finding the balance between AI capabilities and guardrails is difficult01:00:00 Rujira support is coming soon!01:01:00 What makes you so excited about Rujira?01:02:00 Paaao loves lending, borrowing, and the liquidation engine01:03:00 The cross-chain capabilities are truly unique01:04:00 The connection between Rujira and Vultisig01:06:00 When XMR? Paaao: We're exploring how to add it01:08:00 MPC cryptography is difficult because we use DKLS01:09:00 MiCA regulations complicate the situation01:11:00 Is there anything else you'd like to talk about?01:12:00 Shout-out to the OGs: Try Vultisig again! It's changed a lot — send us feedback!01:13:00 Shared vaults for families, trust funds, and much more01:14:00 We want to improve communication — app releases every week01:16:00 Quai recommendation01:17:00 THORChain is a cockroach!

How can you improve your LLM agent systems through specification enrichment? What are the advantages of having an LLM act as a judge within an agent system? This week on the show, Senior IEEE Member and Quality Engineer Suneet Malhotra joins us to discuss building and evaluating agentic architecture.

Send us Fan MailAre traditional websites dying, or are they just changing shapes? Hosts Greg Sterling and Mike Blumenthal catch up with serial entrepreneur and Mozilla VP of Product Raj Singh to discuss how AI search friction is changing the local web. Learn why small businesses must lean into "trust artifacts," how APIs and the Model Context Protocol (MCP) will surface local businesses to AI agents, and why human-in-the-loop authenticity is your best defense against algorithmic spam.Subscribe to our newsletters and other content at https://www.nearmedia.co/subscribe/

A traditional mortgage can take weeks to process. Every application moves through rounds of document requests, condition checks, and broker queries before a decision is made. ING is using agentic AI to change that.In this episode, Bahadir Yilmaz, Chief Analytics Officer at ING, explains how one of Europe's largest mortgage lenders has implemented agentic AI in its mortgage process. The system is live in the Netherlands, rolling out to Germany. Applications now complete in days, a full day faster since AI was introduced. The goal: the instant mortgage, within the next couple of years. We cover why ING chose its highest-stakes product for its first agentic deployment, why the agent handles operational work while underwriting remains with traditional machine learning, and how the team built a golden dataset of 400 mortgage applications to test a system no one had tested before.Furthermore, Bahadir shares how ING scaled to 114 AI initiatives with 42,000 employees using AI. We discuss why risk management came before ambition, and why only 10 of his 600 experts were ready to build agentic systems.Show notes
Follow Bahadir on LinkedIn: https://www.linkedin.com/in/bahadir-yilmaz-21170479/Follow Kane on LinkedIn:⁠⁠https://www.linkedin.com/in/kanesimms⁠⁠Take our AI Maturity Assessment: ⁠⁠⁠https://vuxworld.typeform.com/to/a26bf9Rr?utm_source=podcast&utm_medium=audio⁠Subscribe to VUX World: ⁠⁠⁠https://vuxworld.typeform.com/to/Qlo5aaeW?utm_source=podcast&utm_medium=audio⁠Subscribe to The AI Ultimatum Substack: ⁠⁠⁠https://open.substack.com/pub/kanesimms⁠

In this episode, Katherine Forrest and Scott Caravello track the path from model release to government review, covering the Fable 5 and Mythos 5 saga, GPT 5.6's gated rollout, and a discussion draft of a bill that would give AI agents formal duties to their users while guaranteeing users can leverage agents to access major platforms. For the sources referenced in this episode, please see the links below: Morgan Stanley: Here Come the Shopping Bots Office of Senator Mark R. Warner: Artificial Intelligence Access, Gatekeeper Exchange, and Nondiscriminatory Transfer Act (AI AGENT Act) OpenAI: GPT-5.6 Preview System Card U.S. Supreme Court: Trump v. Slaughter ## Learn More About Paul, Weiss's Artificial Intelligence practice: https://www.paulweiss.com/industries/artificial-intelligence

From the sudden retirement of Internet pioneer Vint Cerf to the unstoppable advance of "apex agentic adversaries," get a front-row seat to the unfolding security revolution and its massive real-world stakes. Why Fable5's re-release has disappointed. Opera becomes the first browser to offer "Paste Protect." Microsoft BlueHammer exploit is "hammering" systems. Industry legend (TCP creator) Vint Cerf on AI. Chrome turns 150 with too many fixes to load. Google fails to sidestep a $4.67 billion EU fine. One last (we can hope) Chat Control vote next week. AirDrop & Android Quick Share are exploitable. How to bypass Claude's and ChatGPT's guardrails. My own Sunday spin with SpinRite. A legendary hacker uses AI on a widespread library Show Notes - https://www.grc.com/sn/SN-1086-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT cohesity.com/Resilience bitwarden.com/twit zscaler.com/security XBOW.com adaptivesecurity.com

Today's blockchain and crypto news Bitcoin is up slightly at $62,234 Ethereum is up slightly at $1,746 BNB is up slightly at $565 BNB Chain building new L1 Kraken wins arbitration against former auditor Learn more about your ad choices. Visit megaphone.fm/adchoices

The future of Meta with Chief Data Officer Alex Schultz. Alex Schultz, Chief Data Officer at Meta, joins Sam for a wide-ranging conversation covering why Meta believes agentic commerce could become the majority of its business, why stablecoins are a foregone conclusion, and why human taste and creative conviction matter more in an AI world than ever before. - Timecodes: 0:00 - Cold open: Warren Buffett's "man, machine, and dog" quote 0:29 - Show intro & Alex Schultz background (CMO → Chief Data Officer at Meta) 8:52 - Using data to find non-average insights: Asia trends, shoppertainment, conversational commerce 11:33 - Staying ahead of the puck: Stories, Messenger, missing TikTok's rise 13:32 - Creators, shoppertainment, and human vs. AI balance 18:00 - Bad AI work is bad work: Alex's Claude/Antarctic cruise data project 20:16 - Taste and conviction matter more than ever; Buffett quote revisited 23:07 - Fear-mongering vs. job creation (radiologists, software engineers) 24:39 - Agentic commerce, Meta's Libra history, and business agents on WhatsApp 27:21 - Stablecoins as the future of digital payments 35:42 - Agentic economy's impact on marketing and the funnel 38:56 - The metaverse, AR glasses, and Meta Ray-Bans/Oakleys 44:25 - Closing remarks - This episode is brought to you by RealFi, a smarter stablecoin, backed by real-world assets. Find out more at⁠ realfi.co⁠. - Ledn provides a secure and transparent way to access liquidity while maintaining your bitcoin holdings. Perfect 8 year track record of keeping clients assets safe. Don't sell your bitcoin. Get a bitcoin-backed loan. Check out your rate by using their loan calculator at⁠ ⁠⁠ledn.io⁠ - JPEG Trading is a global proprietary trading firm specializing in cryptocurrency and decentralized finance markets. From market structure and liquidity provision to quantitative trading strategies, JPEG Trading operates across the full spectrum of blockchain-based assets. Follow @jpegtrading on X to stay ahead of the latest developments in digital asset markets:⁠ https://x.com/jpegtrading⁠ - "Spotlight" features host Sam Ewen.

From the sudden retirement of Internet pioneer Vint Cerf to the unstoppable advance of "apex agentic adversaries," get a front-row seat to the unfolding security revolution and its massive real-world stakes. Why Fable5's re-release has disappointed. Opera becomes the first browser to offer "Paste Protect." Microsoft BlueHammer exploit is "hammering" systems. Industry legend (TCP creator) Vint Cerf on AI. Chrome turns 150 with too many fixes to load. Google fails to sidestep a $4.67 billion EU fine. One last (we can hope) Chat Control vote next week. AirDrop & Android Quick Share are exploitable. How to bypass Claude's and ChatGPT's guardrails. My own Sunday spin with SpinRite. A legendary hacker uses AI on a widespread library Show Notes - https://www.grc.com/sn/SN-1086-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT cohesity.com/Resilience bitwarden.com/twit zscaler.com/security XBOW.com adaptivesecurity.com

From the sudden retirement of Internet pioneer Vint Cerf to the unstoppable advance of "apex agentic adversaries," get a front-row seat to the unfolding security revolution and its massive real-world stakes. Why Fable5's re-release has disappointed. Opera becomes the first browser to offer "Paste Protect." Microsoft BlueHammer exploit is "hammering" systems. Industry legend (TCP creator) Vint Cerf on AI. Chrome turns 150 with too many fixes to load. Google fails to sidestep a $4.67 billion EU fine. One last (we can hope) Chat Control vote next week. AirDrop & Android Quick Share are exploitable. How to bypass Claude's and ChatGPT's guardrails. My own Sunday spin with SpinRite. A legendary hacker uses AI on a widespread library Show Notes - https://www.grc.com/sn/SN-1086-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT cohesity.com/Resilience bitwarden.com/twit zscaler.com/security XBOW.com adaptivesecurity.com

From the sudden retirement of Internet pioneer Vint Cerf to the unstoppable advance of "apex agentic adversaries," get a front-row seat to the unfolding security revolution and its massive real-world stakes. Why Fable5's re-release has disappointed. Opera becomes the first browser to offer "Paste Protect." Microsoft BlueHammer exploit is "hammering" systems. Industry legend (TCP creator) Vint Cerf on AI. Chrome turns 150 with too many fixes to load. Google fails to sidestep a $4.67 billion EU fine. One last (we can hope) Chat Control vote next week. AirDrop & Android Quick Share are exploitable. How to bypass Claude's and ChatGPT's guardrails. My own Sunday spin with SpinRite. A legendary hacker uses AI on a widespread library Show Notes - https://www.grc.com/sn/SN-1086-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT cohesity.com/Resilience bitwarden.com/twit zscaler.com/security XBOW.com adaptivesecurity.com

From the sudden retirement of Internet pioneer Vint Cerf to the unstoppable advance of "apex agentic adversaries," get a front-row seat to the unfolding security revolution and its massive real-world stakes. Why Fable5's re-release has disappointed. Opera becomes the first browser to offer "Paste Protect." Microsoft BlueHammer exploit is "hammering" systems. Industry legend (TCP creator) Vint Cerf on AI. Chrome turns 150 with too many fixes to load. Google fails to sidestep a $4.67 billion EU fine. One last (we can hope) Chat Control vote next week. AirDrop & Android Quick Share are exploitable. How to bypass Claude's and ChatGPT's guardrails. My own Sunday spin with SpinRite. A legendary hacker uses AI on a widespread library Show Notes - https://www.grc.com/sn/SN-1086-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT cohesity.com/Resilience bitwarden.com/twit zscaler.com/security XBOW.com adaptivesecurity.com

From the sudden retirement of Internet pioneer Vint Cerf to the unstoppable advance of "apex agentic adversaries," get a front-row seat to the unfolding security revolution and its massive real-world stakes. Why Fable5's re-release has disappointed. Opera becomes the first browser to offer "Paste Protect." Microsoft BlueHammer exploit is "hammering" systems. Industry legend (TCP creator) Vint Cerf on AI. Chrome turns 150 with too many fixes to load. Google fails to sidestep a $4.67 billion EU fine. One last (we can hope) Chat Control vote next week. AirDrop & Android Quick Share are exploitable. How to bypass Claude's and ChatGPT's guardrails. My own Sunday spin with SpinRite. A legendary hacker uses AI on a widespread library Show Notes - https://www.grc.com/sn/SN-1086-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT cohesity.com/Resilience bitwarden.com/twit zscaler.com/security XBOW.com adaptivesecurity.com

Today we're speaking with Behnaz Karimi, an independent researcher specializing in ransomware and agentic AI systems, Senior Cybersecurity Analyst at Accenture, and founder of Tremorina, about how ransomware is evolving to target AI systems, machine learning pipelines, and autonomous agents.With more than 20 years of experience in cybersecurity, Behnaz is also a leader within the OWASP AI Exchange, where she helps develop AI security frameworks and contributes to international AI security standards. In this conversation we cover the new generation of data-poisoning ransomware, why stolen models and datasets are becoming the ransom, what makes autonomous agents an entirely new attack surface, and how organizations can build resilience into their AI initiatives from day one.Learn more about the OWASP AI Exchange at https://owaspai.org/Support our show by sharing your favorite episodes with a friend, subscribe, give us a rating or leave a comment on your podcast platform.This podcast is brought to you by LimaCharlie, maker of the SecOps Cloud Platform, infrastructure for SecOps where everything is built API first. Scale with confidence as your business grows. Start today for free at https://limacharlie.io/Subscribe to The Cybersecurity Defenders Podcast on Spotify: https://open.spotify.com/show/6ep00zeY3S8ffZ4o0UeSps

What leaders must understand now 4 the shifts in market structure, regulation, or competitive dynamics that demand attention this week.What Leaders Are Getting Wrong? Default assumptions under pressure. The conventional wisdom that no longer holds and the blind spots that create exposure.What to change in the next days. Concrete, tactical adjustments grounded in what operators are actually doing. Planning Implications? How plans should adjust. Connecting weekly signals to annual planning cycles and budget architecture.Executive Close One operator takeaway. One board takeaway. Clarity that travels from the briefing into the boardroom.

In this episode, EqualAI President and CEO Miriam Vogel interviews Yoel Roth, Senior Vice President of Trust and Safety at Match Group and EqualAI Board Member. Yoel shares how trust and safety operations function as an enterprise growth engine rather than a mere cost center. He outlines five categories of online harm—physical, emotional, informational, economic, and societal—and discusses how his team addresses these challenges on popular dating apps used by millions worldwide. He describes how AI can be used to help enable human connection and support the work of trust and safety professionals, emphasizing the need for a measured, human-supervised approach to ensure AI is deployed with good governance in place and that decisions impacting users are made fairly, consistently, and accurately. 

Seema Amble, Steven Sinofsky, and Elena Burger unpack one of the biggest questions facing enterprise software: what happens when AI agents become the primary users of software instead of humans? The conversation explores the rise of "headless" software, why APIs and agentic workflows are reshaping enterprise applications, and whether traditional SaaS products are becoming systems of record rather than systems of engagement. They discuss Salesforce's Headless 360 announcement, MCP, enterprise software architecture, and why AI may fundamentally change how businesses interact with their data. Along the way, they examine what actually makes enterprise software sticky, why replacing systems like SAP and Salesforce is harder than it appears, and where startups have the greatest opportunity as AI reshapes the software stack.   Resources: Follow Seema Amble on X: https://x.com/seema_amble Follow Steven Sinofsky on X: https://x.com/stevesi Follow Elena Burger on X: https://x.com/VirtualElena Related Reading Is Software Losing Its Head?https://a16z.com/is-software-losing-its-head/ The Death of Software? Nah.https://a16z.com/death-of-software-nah/ Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Amit Rawat is an agentic engineer who spent two decades in QA before shifting fully into building AI agents. He's the creator of PromptWright, a desktop tool that turns natural language prompts into automated Playwright browser tests, complete with screen recording, Gherkin scenario generation, and self-healing locators. In this episode, Amit and Joe get into what it actually takes to work with AI agents at a high level, starting with why the planning phase matters more than the prompt itself. Amit breaks down his own workflow, brainstorming with AI, building a detailed plan in HTML before ever executing, and why curiosity and technical depth still matter even as AI gets more capable. They also cover why Amit believes QA professionals, more than developers or DevOps engineers, are best positioned to thrive in the agentic era, how he tracks the ROI on his $200-a-month Claude subscription, the "Chief of Staff," "Chief Health Officer," and "Chief Financial Officer" AI agents he's built to help manage different aspects of his personal life, and how he uses a memory layer so those agents understand his preferences and become more useful over time. If you're a tester, automation engineer, or QA leader trying to figure out where AI agents fit into your workflow and your career, this conversation is a practical look at what's already working today.