Governing Agentic AI Systems: What Changes When Your AI Can Act
· 9 min read
For most of AI's history, the governance problem was fundamentally about outputs: a model says something wrong, offensive, or confidential. That's bad, but it's contained. The blast radius is limited to whoever reads the output.
Agentic AI breaks this assumption entirely. When an agent can call APIs, write to databases, send emails, and spawn sub-agents — the question is no longer just "what did it say?" but "what did it do, to what systems, on whose behalf, and can we undo it?" Nearly 70% of enterprises already run agents in production, but most of those agents operate outside traditional identity and access management controls, making them invisible, overprivileged, and unaudited.
