AI governance is entering its hardest phase. The question is no longer whether employees are using AI, but whether organizations can see, control, and prove what AI systems are doing across the enterprise.
As copilots evolve into agents with access to business systems, the risk profile changes. In this session, we will examine how organizations can govern AI that can make decisions, call tools, access sensitive data, and act on a user’s behalf. We will explore the new control points across AI inventory, identity and permissions, third-party providers, human oversight, monitoring, incident response, and audit evidence, alongside the regulatory expectations shaping these decisions.
