Securing AI at Enterprise Scale: Lessons from Walmart's Transformation with Tobias Yergin

When one of the world's largest enterprises deploys AI across 10,000+ developers, the security challenges are unlike anything most organizations have faced. In this episode of SecureTalk, we explore the critical security and strategic considerations for deploying AI tools at enterprise scale with Tobias Yergin, who led AI transformation initiatives at Walmart. Key Topics Covered: Why traditional security rules fail with probabilistic AI systemsThe exponential risk of scaling AI agents from dozens to thousandsBuilding secure data foundations for enterprise AI deploymentProtecting AI agents that operate beyond your firewallStrategic approaches to AI implementation that balance innovation with riskThe ontological framework for mapping AI capabilities to business tasksFirst principles thinking for AI security architecture Tobias brings over two decades of experience in digital transformation, having held senior leadership roles at Intel, VMware, Panasonic, and Citrix Systems. His practical insights from implementing AI at Walmart's massive scale offer invaluable guidance for CISOs and security professionals navigating the complexities of enterprise AI adoption. Perfect for: CISOs, Security Architects, IT Leaders, Enterprise Risk Managers, and anyone responsible for securing AI implementations in large organizations.