Runtime Policies
Enforce rules at the agent execution layer. Agents cannot reason around your policies.
Prefactor's runtime policy engine intercepts every agent action — tool calls, data access, API requests — and evaluates it against your governance rules in real time. Block, throttle, sandbox, or escalate actions before they execute, across every agent framework.
How policies are defined
TODO: Show examples of Prefactor's policy syntax. Demonstrate rules like "block access to production databases for agents in development status", "throttle token usage to 10,000 per hour for team X", "escalate any action involving PII to the security team". Include screenshots of the policy editor.
How enforcement works at runtime
TODO: Explain the enforcement architecture — where the policy enforcement point sits, how it intercepts agent actions without adding latency, and how it evaluates policies against the action context (agent identity, permissions, data classification, time of day, rate limits).
Observation mode and safe rollout
TODO: Describe how teams can deploy policies in observation mode first — logging what would be blocked without actually blocking it. Show how this enables safe, data-driven policy rollouts.
Policy management and versioning
TODO: Explain how policies are version-controlled, testable in CI, and deployable without redeploying agents. Describe the policy lifecycle: draft, review, active, archived.