CXOTalk

Michael Krigsman
  • 4.8 (38)
  • Technology
  • Updated Weekly

C-Suite Conversations on AI and Strategy. Join industry analyst Michael Krigsman for unfiltered discussions with the leaders shaping the future of business. From AI implementation to digital transformation, hear directly from CIOs, CTOs, CEOs, and more from the world's largest companies. No scripts. No PR fluff. Just real questions from our live audience and honest answers from the C-Suite. Want to participate? Get invited to the next live show: https://www.cxotalk.com/subscribe

  1. 2d ago

    Palo Alto Networks EVP: Securing AI Agents in the Enterprise

    Enterprises are running more AI agents than their security teams realize, and attackers only need to be right once. Anand Oswal, EVP of Network Security at Palo Alto Networks, explains how to secure agents across four surfaces: enterprise, SaaS, endpoints, and the browser. With host Michael Krigsman, he covers shadow agent discovery, MCP and browser risks, prompt injection, agent identity, and why a unified platform beats a stack of point products. YOU’LL DISCOVER ✅ The four agent surfaces every CISO must secure at once: enterprise, SaaS, endpoints, and the browser ✅ Why discovery comes first: you cannot secure agents, models, tools, and plugins you cannot see ✅ The Palo Alto Networks finding that one third of public MCP servers carry takeover level vulnerabilities ✅ How vibe coding agents demand privileged access to local files, terminals, and cloud credentials ✅ How browser agents inherit your session and cookies and can perform identity impersonation ✅ Runtime threats to know: prompt injection, memory poisoning, tool misuse, and model DoS ✅ How MCP and A2A protocols expand the attack surface, and why a centralized AI gateway anchors identity, runtime, and observability controls ✅ The case for zero trust, an AI-driven SOC, and one unified platform over point products, and where Prisma AI fits ⏱️ TIMESTAMPS 0:00 Introduction 0:22 Agent memory poisoning and tool misuse 0:59 Discovering shadow agents across four surfaces 2:32 Vibe coding agents and MCP risk 4:46 Browser agents and session misuse 6:20 Runtime threats and prompt injection 7:17 Agent-to-agent protocols and attack surface 8:04 Agent identity and the control plane 9:16 Centralizing control at the AI gateway 10:23 Zero trust and an AI-driven SOC 11:29 One platform, not point products Subscribe for weekly conversations with the business and technology leaders shaping the enterprise. Get the CXOTalk newsletter: https://newsletter.cxotalk.com Show notes, transcript, and summary: https://www.cxotalk.com/episode/palo-alto-networks-evp-securing-ai-agents-in-the-enterprise Episode 924 #CXOTalk #EnterpriseAI #CIO #AIGovernance #AgenticAI #IBM #DigitalTransformation #AIStrategy #AILeadership

    Palo Alto Networks EVP: Securing AI Agents in the Enterprise

  2. 2d ago

    The CIO Agenda for AI (with IBM Consulting)

    CIOs are accountable for AI results but often not in control of how AI is actually used across the business. Andy Baldwin, Senior Vice President of Consulting Offerings and Growth at IBM Consulting, explains how CIOs regain visibility and control as AI moves from small pilots to industrial scale. He describes the real cost of scaling AI, right-sizing models to cut token cost, governance and observability, cyber and post-quantum risk at the board level, workforce reskilling, and modernizing legacy systems without breaking them. ====== This episode brought to you by Gartner IT Symposium/Xpo™: https://cxo.news/KGg8XY ====== YOU’LL DISCOVER ✅ Why two-thirds of CIOs are accountable for AI but not in full control of how it is used ✅ How IBM runs its own AI program (Client 0) and tracks 60 different models on a single observability layer ✅ Why right-sizing models beats defaulting to an expensive frontier model, the Ferrari-to-the-corner-shop problem that drives token cost ✅ How one AI deployment ran to a $25 million compute cost in six months, then was re-architected down to roughly $2 million ✅ Why AI adoption is a contact sport, not a technology you throw over the fence and hope gets used ✅ Why cyber threats and the post-quantum encryption risk have moved up to the board level ✅ How IBM is reskilling 15,000 to 20,000 people whose skills face declining demand ✅ How to modernize legacy by preserving the system of record while reimagining the engagement layer ⏱️ TIMESTAMPS 0:00 The CIO accountability gap 3:31 Why AI adoption is a contact sport 9:18 Democratization forces a governance rethink 10:31 The real cost of scaling AI 17:01 Writing controls versus enforcing them 19:32 When AI becomes the business model 29:49 From efficiency to reinventing the business 36:07 Quantum and cyber reach the boardroom 41:33 Soft landing or jobs apocalypse 46:59 Proving control and successful pilots 49:54 Modernizing legacy without breaking it 53:06 Accountability and the CIO’s next move Subscribe for weekly conversations with the business and technology leaders shaping the enterprise. Get the CXOTalk newsletter: https://newsletter.cxotalk.com Show notes, transcript, and summary: https://www.cxotalk.com/episode/ibm-consulting-cios-new-agenda-for-ai Episode 924 #CXOTalk #EnterpriseAI #CIO #AIGovernance #AgenticAI #IBM #DigitalTransformation #AIStrategy #AILeadership

    The CIO Agenda for AI (with IBM Consulting)

  3. 2d ago

    Eric Ries: Can AI Startups Stay Ethical?

    Can AI startups keep their promise to benefit humanity? Eric Ries explains why business success often leads to corporate "corruption" of the founder's mission. Eric Ries, creator of the Lean Startup Method, breaks down the inherent tensions between scaling a business and maintaining its core purpose. We examine why so many organizations lose sight of their initial mission as they grow, and what it takes for leadership to stay grounded. This discussion focuses specifically on how AI company ethics are being tested in the current market. Ries shares his perspective on advising Anthropic, offering a rare look at how a major firm attempts to protect its mission while navigating rapid growth. If you are interested in the intersection of philosophy and corporate strategy, this breakdown offers a practical look at the challenges modern founders face. Subscribe for weekly business strategy breakdowns, and let me know in the comments: what do you think is the biggest threat to a company's original mission? YOU'LL DISCOVER ✅ Why corruption means making money without creating value, not breaking the law ✅ The Sol Price story: how FedMart was liquidated, and Costco grew from the same idea ✅ Why shareholder primacy is only about 40 years old, not a law of capitalism ✅ The three-part formula for an incorruptible company: purpose, coherence, integrity ✅ How alternative ownership structures (foundations like Novo Nordisk and Hershey, purpose trusts like Patagonia) make firms far more durable ✅ Eric's idea of financial gravity and why your buying, working, and investing choices matter ✅ The job interview question that can push a company to put its mission in its legal charter ✅ Why Anthropic's public benefit corporation and long-term benefit trust protect its mission ⏱️ TIMESTAMPS 0:00 Why success corrupts good companies 3:14 What corruption really means 5:41 Shareholder primacy is a recent invention 8:22 Sol Price, FedMart, and the founding of Costco 13:08 Who decides which values matter 18:22 Missionaries versus mercenaries 19:44 How Google lost its way 21:38 Governance structures that protect a mission 28:01 Financial gravity and your power 35:25 Red flags when vetting a company 43:00 Why I am optimistic 50:53 Advice for AI founders and Anthropic Subscribe to CXOTalk for weekly conversations with the business and technology leaders shaping the enterprise. Get the CXOTalk newsletter: https://newsletter.cxotalk.com Show notes, transcript, and summary: https://www.cxotalk.com/episode/can-you-build-an-incorruptible-ai-company-a-conversation-with-eric-ries Episode 923 | Recorded June 26, 2026 #CXOTalk #EricRies #Incorruptible #LeanStartup #CorporateGovernance #ShareholderPrimacy #MissionDriven #Leadership #Anthropic #BusinessEthics

    Eric Ries: Can AI Startups Stay Ethical?

  4. 2d ago

    McKinsey: Why Agentic AI Pilots Stall

    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 ⏱️ TIMESTAMPS 0:00 The repeatable recipe for AI value 8:27 Treat agents as colleagues, not tools 13:42 Why the CEO must own the transformation 18:05 From token maxing to value maxing 22:01 Managing a hybrid team of agents 23:30 A flexible architecture for changing models 26:25 Governance and digital trust from day one 30:59 Cost savings versus reinventing the top line 34:46 Human focus, judgment, and accountability 44:12 Redesign workflows instead of bolting on AI 46:24 Careers and apprenticeship in an agent world 50:47 What real CEO ownership looks like 🔔 Subscribe for weekly conversations with the world's top business and technology leaders. 📩 Get the CXOTalk newsletter: https://newsletter.cxotalk.com 💬 Show notes, transcript, and summary: https://www.cxotalk.com/episode/mckinsey-on-agentic-ai-how-to-create-business-value Episode 922 | Recorded June 19, 2026 #CXOTalk #EnterpriseAI #AI #DigitalTransformation #McKinsey #AIStrategy #AIGovernance #AgenticAI #Leadership

    McKinsey: Why Agentic AI Pilots Stall

  5. Jun 15

    Aaron Levie, Box CEO: Advice for CIOs on AI Agents

    Agentic AI has taken off in software engineering, but most CIOs still cannot make agents work in everyday knowledge work in the enterprise. Aaron Levie, co-founder and CEO of Box, explains why that gap exists and what enterprises must change to close it. Drawing on what Box sees across its enterprise customer base, including 68% of the Fortune 500, Levie covers data access, verification, budgets, architecture, and the new roles required to realize real value from enterprise AI agents. ====== This episode is brought to you by Gartner IT Symposium/Xpo™: https://cxo.news/KGg8XY ====== YOU'LL DISCOVER ✅ Why agentic coding raced ahead while knowledge work agents lag, across three properties: text based work, verifiability, and data access ✅ The "AI psychosis" pattern Levie says makes CEOs overestimate agents, and why distance from the last mile of work distorts executive judgment ✅ Why you should retry a failed AI project roughly every six months as frontier models keep improving ✅ The forward-deployed engineer role, internal and external, and why it becomes essential to enterprise AI adoption ✅ Why your IT and data architecture, not the model you pick, often determines what you actually get from agents ✅ The end of venture-subsidized tokens, and why the line of business, not just IT, now has to own the AI budget ✅ Why Levie says you should not vibe-code core systems of record like ERP or CRM, and where agent value actually accrues ✅ Value maxing versus token maxing: how to judge AI ROI and avoid a surprise overnight token bill ⏱️ TIMESTAMPS 0:00 The promise of agentic coding 5:11 Why knowledge work resists agents 8:52 The AI psychosis trap for CEOs 14:57 Be ambitious, then retry in six months 17:25 The rise of the forward-deployed engineer 21:09 Frontier models need your data architecture 27:14 The end of subsidized tokens 31:18 How knowledge workers should prepare 36:37 Where software value shifts 39:03 Reimagining workflows around abundance 43:03 Value maxing versus token maxing 49:46 Advice for CIOs 🔔 Subscribe for weekly conversations with the world's top business and technology leaders. 📩 Get the CXOTalk newsletter: https://newsletter.cxotalk.com 💬 Read the show notes and episode summary: https://www.cxotalk.com/episode/box-ceo-aaron-levie-cio-advice-on-agentic-ai-and-the-enterprise #CXOTalk #AaronLevie #Box #EnterpriseAI #AIAgents #AgenticAI #DigitalTransformation #CIO #KnowledgeWork #AIStrategy

    Aaron Levie, Box CEO: Advice for CIOs on AI Agents

  6. Jun 9

    Mozilla CTO: Why Most Enterprises Don't Control Their AI

    Most enterprises are renters, not owners, of their technology and AI. Raffi Krikorian, Chief Technology Officer of Mozilla, explains why dependence on a handful of closed model providers means losing control over model behavior, pricing, and your own data. In CXOTalk episode 920, Krikorian lays out where open-source AI actually wins in the enterprise, how lock-in happens quietly, and what CIOs and CTOs should do about it now. Krikorian draws on his experience building infrastructure at Twitter and running the self-driving division at Uber to ground the discussion in real engineering and economic tradeoffs, not hype. YOU'LL DISCOVER ✅ Why 85% of enterprises believed they could switch AI vendors, but only about 30% actually could when they tried ✅ The "renters vs. owners" framing and what it means to control your AI destiny ✅ Why Krikorian wants data "protected by architecture, not legal handshakes" ✅ How Pinterest reportedly saved on the order of $10 million in a single quarter by switching from closed to open models ✅ Why IT is becoming "the HR team for agents," and the read/write "dangerous triangle" of agentic permissions ✅ The case for recording your prompts and running your own evaluations instead of trusting public benchmarks ✅ Why roughly 70% of enterprise GPUs sit idle, and the missing "LAMP stack for AI" that could put them to work ✅ How closed "validation machines" can quietly steer answers toward sponsored outcomes ⏱️ TIMESTAMPS 0:00 Renters vs. owners: who controls enterprise AI 2:26 The risks of depending on closed model makers 6:23 How lock-in happens and where open source fits 9:53 Regression testing and building your own evals 13:24 Pricing instability and the post-IPO cost question 23:31 Governance: IT as HR for AI agents 32:38 Can a small organization own its AI stack end-to-end? 38:47 Validation machines, trust, and sponsored answers 43:39 Keeping humans at the center, not in the loop 47:23 Can open source beat big tech in AI? 51:39 Inside Mozilla.ai: Otari, CQ, Octanus, Thunderbolt 55:21 The "rebel alliance" strategy 🔔 Subscribe for weekly conversations with the world's top business and technology leaders. 📩 Get the CXOTalk newsletter: https://newsletter.cxotalk.com 💬 Read the show notes, summary, and transcript: https://www.cxotalk.com/episode/mozilla-cto-open-source-ai-agents-and-the-fight-for-control 🎙️ ABOUT CXOTALK CXOTalk features unfiltered conversations with C-suite executives from major companies about AI, digital transformation, and business strategy. Hosted by Michael Krigsman. Episode 920 #CXOTalk #EnterpriseAI #OpenSource #AIGovernance #CIO #Mozilla #DigitalTransformation #AIStrategy #VendorLockIn #AgenticAI

    Mozilla CTO: Why Most Enterprises Don't Control Their AI

  7. May 16

    Enterprise AI: Shadow AI and Agentic Risk - CIO advice

    AI agents are entering enterprise AI faster than CIOs can govern them. Line-of-business users are vibe-coding their own tools, agents are operating with employee credentials, and foundation models are changing under running systems. In CXOTalk episode 919, Anthony Scriffignano, PhD, a prominent data scientist, and Tim Crawford, a strategic advisor to CIOs at the world's largest companies, examine what enterprise AI governance, shadow AI, and agentic risk require of technology leaders today. The discussion grounds the AI agent conversation in practical decisions: what to keep from established IT governance, what is genuinely new, and where the CIO role must evolve. YOU'LL LEARN: ✅ Why traditional regression testing breaks when foundation models, training data, and environments all change at once ✅ How shadow AI and vibe-coding by non-developers expand the threat paradigm beyond the enterprise perimeter ✅ Why HR-style policies do not transfer to AI agents, and what changes when super-agents call sub-agents through an orchestration layer ✅ Specific controls for shadow AI: sandboxes, token counting, personal Identifying Information (PII) guardrails, and watching for value leaving the organization ✅ Red, blue, and green teaming for autonomous agents, including why red teams need a defined target list, not a license to break things ✅ The three governance layers CIOs must now reconcile: user role-based access controls (RBAC), agent governance, and knowledge governance, across ServiceNow, Salesforce, and SAP ✅ When human in the loop is meaningful and when it becomes theater, including the limits of audited-sample review at machine speed ✅ How the transformational CIO mindset differs from the traditional one, and why business depth is now the prerequisite skill ⏱️ TIMESTAMPS 0:00 AI agents are running wild: framing the problem 3:11 From automation to autonomy: how CIOs should reframe risk 5:21 What old governance disciplines still apply, and what is new 6:12 Shadow AI, vibe coding, and the limits of control 9:11 Practical controls: sandboxes, token counting, PII guardrails 11:53 Why HR policies do not work for AI agents 15:24 Regression testing for misuse and misadventure 18:43 The aspiring CIO: traditional vs. transformational mindset 21:07 Disciplined red, blue, and green teaming 23:30 When mandatory automation becomes the only option 32:03 Human in the loop: meaningful or theater? 34:09 What AI governance actually looks like in practice 38:10 New roles: context engineers, AI FinOps, and value frameworks 40:30 Talent and jobs inside IT: what changes 🔔 Subscribe for weekly conversations with the world's top business and technology leaders. 📩 Get the CXOTalk newsletter: https://newsletter.cxotalk.com 💬 Read the show notes: https://www.cxotalk.com/episode/cio-playbook-agentic-ai-in-the-enterprise 🎙️ ABOUT CXOTALK CXOTalk features unfiltered conversations with C-suite executives from major companies about AI, digital transformation, and business strategy. Hosted by Michael Krigsman. Episode 919 #cxotalk #ShadowAI #AIAgents #AIGovernance #AgenticAI #CIO #EnterpriseAI #DigitalTransformation #AIRisk #CIOLeadership

    Enterprise AI: Shadow AI and Agentic Risk - CIO advice

  8. May 5

    Autonomous Software Development at Enterprise Scale: Inside a 1,000-Developer Pilot (with Blitzy) | CXOTalk #918

    Enrique Ibarra, CIO and Head of Business Transformation at GNP, Mexico's largest insurance company, walks through an enterprise-scale pilot of autonomous software development involving roughly 1,000 internal and external developers. The episode examines how agentic AI changes developers' roles from creators to editors and orchestrators. In CXOTalk episode 918, Ibarra explains why AI co-pilots alone were insufficient to modernize a 20-year-old mainframe system, how GNP evaluated the Blitzy autonomous development platform across four real-world use cases, and how developer roles are shifting from creators to editors and orchestrators. The episode covers legacy modernization, enterprise AI adoption, change management, measurable results, and the two-year roadmap to retool the full engineering organization. YOU'LL DISCOVER ✅ The CIO's phased human-in-the-loop playbook: target high-effort, low-risk friction points first (documentation, test suites, version upgrades) ✅ Measured outcomes: 5 to 10X engineering velocity, near-100% autonomous completion on language upgrades, roughly 80% on frontend modernization ✅ Why GNP's 20-year-old mainframe system forced a modernization decision tied to cost and the coming COBOL talent shortage ✅ How the pilot was structured across four use cases: Java 8 to Java 21 migration, Angular frontend upgrade, new feature build, and security vulnerability remediation ✅ Why autonomous platforms differ from co-pilots, and when to use each (Blitzy for heavy lifting, IDE-based co-pilots for the final 20%) ✅ How to encode technical, security, and architectural guidelines as prompt inputs rather than post-hoc review ✅ The change management approach that converted skeptical developers into active users within weeks ✅ Strategic payoff: shipping new insurance products in weeks rather than months, and shifting IT from maintaining the business to dictating market pace TIMESTAMPS 0:00 Introduction and headline results 0:39 Why GNP needed to modernize a 20-year-old mainframe system 1:15 From coding co-pilots to an autonomous platform 2:36 Designing the four-use-case pilot 4:26 Autonomous platforms versus vibe coding 5:49 What autonomous development means in practice 7:24 Encoding security and governance as prompt inputs 8:24 Results: velocity, autonomy rates, and the final 20% 10:16 How developer roles and daily work change 11:19 Managing developer skepticism and change resistance 12:25 Advice for CIOs: the phased human-in-the-loop playbook 13:34 Strategic business benefits and first-to-market product launches 14:58 Rolling out across seven teams and a two-year horizon 16:34 Final advice for engineering leaders getting started 🔔 Subscribe for weekly conversations with the world's top business and technology leaders. 📩Get the CXOTalk newsletter: https://newsletter.cxotalk.com 💬 Read the show notes: https://www.cxotalk.com/episode/autonomous-software-development-at-enterprise-scale-inside-a-1-000-developer-pilot-with-blitzy 🎙️ ABOUT CXOTALK CXOTalk features unfiltered conversations with C-suite executives from major companies about AI, digital transformation, and business strategy. Hosted by Michael Krigsman. Episode 918 #CXOTalk #AutonomousSoftwareDevelopment #Blitzy #AgenticAI #EnterpriseAI #CIO #AICodeGeneration #LegacyModernization #DigitalTransformation #SoftwareEngineering

    Autonomous Software Development at Enterprise Scale: Inside a 1,000-Developer Pilot (with Blitzy) | CXOTalk #918
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4.8
out of 5
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About

C-Suite Conversations on AI and Strategy. Join industry analyst Michael Krigsman for unfiltered discussions with the leaders shaping the future of business. From AI implementation to digital transformation, hear directly from CIOs, CTOs, CEOs, and more from the world's largest companies. No scripts. No PR fluff. Just real questions from our live audience and honest answers from the C-Suite. Want to participate? Get invited to the next live show: https://www.cxotalk.com/subscribe

Information

  • Creator
    Michael Krigsman
  • Years Active
    2015 - 2026
  • Episodes
    553
  • Rating
    Clean
  • Copyright
    © Michael Krigsman
  • Show Website
    CXOTalk

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