agent-governance

You can enforce safety guardrails by defining declarative governance policies for AI agents, which establishes capability models and privilege rings to prevent unsafe actions and ensure compliance.

Privilege rings in AI agent governance are a four-tier model that defines explicit permissions and escalation rules, categorizing agent capabilities to restrict unsafe actions.

You can implement a kill switch to halt rogue AI agent behavior by enabling anomaly detection features that provide an immediate halt command and record the event via audit logging.

Pre-commit policy hooks manage agent capabilities by intercepting configuration changes, ensuring that explicit permissions and privilege rings are supervised and validated before changes are applied.

Yes, you can use frontmatter-driven workflows to satisfy human-supervised policy changes, allowing operators to review and enforce fast-path policy evaluations and audit logs manually.

The best way to block unsafe actions during execution is applying fast-path policy evaluation checks that validate agent capabilities against privilege rings and immediately record denials.