Every decision is recorded
A structured log of every PR evaluation — the AI declaration, the policy rules applied, the outcome, and whether enforcement reached GitHub. Queryable and ready to produce when controls need to be demonstrated.
Know what AI wrote.
Control what ships.
AICodeGuard enforces auditable AI controls on pull requests before merge. Require declarations, apply deterministic policy rules, and maintain compliance-ready records.
Compliance-ready from day one
Policies describe intent. AICodeGuard produces the evidence. Every pull request is captured as a structured record showing what was declared, what was evaluated, and what was decided. When governance questions come up, you have answers.
Enforcement before merge
Controls apply at the PR stage, before code reaches your main branch. Sensitive paths can require human authorship and those requirements are enforced automatically — not tracked manually after the fact.
Scoped to your risk model
Apply organization-wide policies or scope rules to individual repositories. Stricter controls on auth, payments, and PII handling; lighter touch elsewhere — all managed in one control plane.
Built for governance teams
Everything needed to operationalize AI code policy without slowing engineering to a halt.
AI Usage Declaration
Required in every PR
Blocks merge when missing
Clear remediation in PR comment
Deterministic Policy Engine
Path-based rules
Allow / Block / Require review
No LLM involved in decisions
GitHub PR Integration
Commit status checks
In-PR violation comments
Automatic retry on failure
Audit Trail
Full event + evaluation record
Enforcement result per PR
Queryable for compliance review
Your team is already using AI to write code.
Now make it governable.
Enforce AI-assisted merge controls before risky code lands in production.