Zero Trust Architecture for AI Agents

Zero trust principles extend to AI agents, ensuring every action is verified, authorized, and observable.

Issue short-lived identities per agent process. Enforce mutual TLS and hardware-backed credentials for sensitive operations.

Run agents inside isolated sandboxes with explicit network policies. Only expose the APIs and datasets required for the task.

Capture prompts, responses, and downstream API calls. Feed logs into security analytics systems for anomaly detection.

Run automated tests that verify agents cannot escalate privileges or reach restricted resources without approval.