Seeing AI Agents Is Not Enough. Security Teams Must Enforce What They Can Do

Security teams are struggling to manage the growing number of AI agents operating within organizations, moving beyond simple visibility to effective enforcement. The key challenge lies in understanding the *intent* behind an agent's actions, rather than just its access permissions. Traditional access control models are inadequate for AI agents, which operate dynamically and adapt their behavior based on context. Moving beyond a static inventory to a unified, identity-centric control plane is crucial for governing agentic AI and mitigating associated risks.