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 whenever questions come up about what shipped and how.
Know what AI wrote.
Control what ships.
As AI usage grows, engineering leaders need visibility and control over what AI contributes to production code. AICodeGuard enforces policy at the PR stage, before anything reaches your main branch.
Visibility and control before code ships
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. Gives you a clear, structured answer when questions arise about AI-generated changes.
Enforcement before merge
Controls apply at the PR stage, before code reaches your main branch. Protect authentication, payments, PII handling, and other high-risk paths from AI-generated changes — enforced automatically, not tracked manually.
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 place.
Built for engineering teams that take AI seriously
Everything needed to put AI code policy into practice without slowing your team down.
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
Structured evaluation record per PR
Enforcement result per PR
Queryable when questions arise
Your team is already using AI to write code.
Now make it governable.
Enforce AI-assisted merge controls before risky code lands in production.