As AI adoption accelerates, governance is becoming one of the most important responsibilities for security leaders. While many organizations are focused on technical controls, effective AI governance requires a broader view that considers data rights, approved use cases, model lifecycle management, and ongoing oversight as AI systems evolve. This interactive discussion brings CISOs together to explore how they are building governance programs that extend beyond compliance checklists and one-time approvals. Participants will exchange ideas on establishing meaningful guardrails, defining accountability, and creating governance frameworks that enable innovation while ensuring AI remains aligned with business objectives, organizational policies, and evolving risk.