Self-hosted docs
Policy Authoring
Create, test, and deploy guardrail policies that enforce safe and compliant AI operations.
Policy structure
Define policies with clear conditions, thresholds, and enforcement actions.
- Example: Policy components: condition, threshold, enforcement_action, notification_targets
- Example: Runtime policy: unsafe_output_detection with confidence_threshold: 0.85
- Example: Change policy: pricing_increase_guardrail with percentage_threshold: 10%
Testing and validation
Test policies against historical data and edge cases before deploying to production.
- Example: Test policies using historical runtime events and change records
- Example: Validate policy logic with unit tests and integration scenarios
- Example: Deploy to staging first, then production with monitoring