AI agents now operate inside organizational trust boundaries with real credentials, making traditional perimeter security insufficient. Agentic governance addresses this by focusing on four controls: identity (registering and owning every agent), authority (tying permissions to specific actions rather than broad credentials), action control (pause mechanisms for high-risk operations), and evidence (comprehensive audit trails linking requests to outcomes). Key risks include scope creep, prompt injection attacks through consumed content, and the velocity at which agents can chain damaging actions. Security leaders are advised to inventory all agents, assign human owners, enforce granular permissions, implement approval gates for risky operations, and build investigation-ready logs from day one.
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