Governing Autonomous AI Agents
Govern autonomous agents through scoped identity, least privilege, action limits, monitoring, approvals, auditability, and rapid shutdown.
Give every agent an identity
Use distinct credentials, ownership, purpose, environment, and permission scope. Shared accounts make it difficult to enforce least privilege, attribute actions, revoke access, or investigate incidents.
Control actions at execution
Enforce allowed tools, transaction limits, approval thresholds, rate limits, and prohibited targets outside the model. Increase human review based on consequence, novelty, uncertainty, and irreversibility.
Maintain operational command
Record inputs, context sources, decisions, tool calls, outputs, and approvals. Provide pause, credential revocation, containment, customer remediation, and incident review procedures before production autonomy expands.
Common Mistakes
- Governing agents like chat interfaces
- Granting broad standing permissions
- Logging outputs but not actions
Market Signals
- Agents use employee credentials
- Action limits exist only in prompts
- Operators cannot stop all active runs quickly