As enterprises accelerate AI adoption, traditional virtualization models are being pushed to their limits by rising costs, growing data demands, and the need for greater flexibility across hybrid environments.
Most enterprises now have dozens of AI initiatives but few have a repeatable way to move from pilot to production at scale. As AI becomes embedded in core business processes, leading organizations are shifting from project-based experimentation to a standardized enterprise AI factory operating model. This peer discussion explores how large enterprises are designing AI factories that balance speed, governance, and reliability—using shared infrastructure, validated architectures, and clear operating models to deliver AI outcomes consistently across the organization.
As enterprises accelerate AI adoption, traditional virtualization models are being pushed to their limits by rising costs, growing data demands, and the need for greater flexibility across hybrid environments.
AI agents are quickly becoming a new class of enterprise identity. They write code, execute workflows, access data, and interact with systems across cloud and SaaS environments, often autonomously. At the same time, machine identities already far outnumber humans. Certificates, API keys, service accounts, and tokens are multiplying faster than most organizations can track or govern. Join other senior security and IAM leaders for an invitation-only dinner and moderated roundtable to discuss how identity security must evolve for an AI-driven, post-quantum world. In a relaxed, off-the-record setting, we'll explore how organizations can move beyond static credentials toward short-lived access, stronger governance of machine identities, and new approaches to securing autonomous systems.