Policy & audit for AI-written code
Enforce how AI writes code — with a trail you can show auditors.
Org-wide AI coding policies and full audit trail for Cursor/Copilot teams. Trace who changed what, under which rule, before it hits main.
- Who
- Platform, security, and compliance owners of AI coding rollouts
- Problem
- AI assistants write production code with no org policy gate and no audit trail you can hand to leadership
- Outcome
- Enforceable rules on AI-touched PRs, plus a trail of who changed what under which policy
Built for teams already on Cursor & Copilot
Why teams care
Org-wide AI coding policies
Define what AI may touch — secrets, auth, migrations, licensed code — and enforce it as a required PR check.
Audit trail you can export
Show who authored, which assistant assisted, which rule fired, and what was waived — before the merge to main.
Traceability without blocking velocity
Policy failures surface in review with clear remediation. Compliant PRs pass quietly so shipping stays fast.
How it works
- 01
Declare AI coding rules
Set org policies once: restricted paths, required tests, disclosure of AI assistance, and approval gates.
- 02
Attach checks to every PR
Guardrail evaluates AI-touched diffs against your rules and records the decision on the pull request.
- 03
Prove compliance on demand
Export the trail for auditors or leadership: rule, actor, PR, outcome — no spreadsheet archaeology.
FAQ
Does this replace our existing security scanners?+
No. Guardrail focuses on AI-assisted change governance — policies and traceability — and complements SAST/secret scanning.
Can we prove AI involvement after the fact?+
Yes. That's the point of the audit trail: who changed what, under which rule, on which PR, before it hit main.
Will this slow down our developers?+
Policies run as PR checks. Green means merge as usual. Failures come with specific rule names so fixes are targeted.
Book a 15-min call
Prefer to talk? Email Eduard directly — or use the Calendly link when CALENDLY_URL is set.