CI CD Pipeline Safety Checks for AI

Safety policies and agent configurations should go through the same rigor as application code. Adding safety checks to your CI/CD pipeline catches misconfigurations, overly permissive policies, and regressions before they reach production.

What to Validate

Policy syntax validation ensures your YAML policies parse correctly and conform to Authensor's schema. A missing field or incorrect type in a policy file should fail the build immediately.

Policy logic testing runs your policy through Authensor's engine with a suite of test envelopes. Each test envelope represents an action with an expected decision. If the policy produces an unexpected result, the pipeline fails.

Red team regression tests replay a set of known attack patterns against your safety configuration. These tests verify that previously caught attacks remain blocked after policy changes.

Schema compatibility checks that your policy schema version matches the Authensor version you are deploying. Schema mismatches cause runtime failures that are better caught in CI.

Pipeline Stages

Add a safety validation stage between your unit tests and deployment steps.

In the validation stage, install Authensor's CLI with npx authensor. Run authensor policy validate against each policy file. Run authensor policy test against your test suite. Both commands exit with non-zero codes on failure, integrating naturally with CI systems.

Test Suite Organization

Organize test envelopes by category: legitimate actions that should be allowed, known attack patterns that should be denied, edge cases that test boundary conditions, and escalation scenarios that should trigger human approval.

Maintain at least 50 test envelopes covering your most critical safety rules. Update the suite whenever you encounter a new attack pattern in production.

Deployment Gating

Use the pipeline to enforce a policy review workflow. Policy changes require a pull request, passing CI checks, and approval from at least one security team member. Authensor's CLI can diff two policy versions and highlight what changed.

Never deploy policy changes directly to production. Use a staged rollout: validate in CI, deploy to staging, run the red team suite against staging, then promote to production.

Notifications

Send pipeline results to your security team's Slack channel. Include which policies changed, how many tests passed, and whether any previously passing tests now fail. Early visibility into policy changes prevents configuration drift.