Review: GitGuardian MCP Controls with Enforceable Secret-Scanning Gates
If AI agents can open pull requests, secret scanning must become a hard merge gate, not a best-effort report. The practical baseline is: pre-commit scanning for fast feedback, CI blocking checks for enforceability, and policy-controlled break-glass paths with audit logs.
What Breaks Without a Gate
Teams adopting agent-generated code often add scanners but keep them non-blocking. That pattern fails because leaked credentials still reach protected branches when:
- scans run only locally,
- CI jobs are optional,
- exceptions are handled in chat instead of policy.
Enforceable Integration Pattern
Use GitGuardian capabilities in two layers:
- Local developer/agent feedback with
ggshield. - Required CI status checks on pull requests.
CI Gate Example (GitHub Actions)
name: secret-scan
on:
pull_request:
push:
branches: [main]
jobs:
gitguardian:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: GitGuardian scan
uses: GitGuardian/ggshield/actions/secret@v1.37.0
env:
GITGUARDIAN_API_KEY: ${{ secrets.GITGUARDIAN_API_KEY }}
Then enforce this workflow as a required status check in branch protection. If the check fails, merge is blocked.
Agent-Safe Policy Contract
Treat every MCP-driven code contribution as untrusted until it passes:
- secret scanning gate,
- unit/integration tests,
- ownership review for security-sensitive files.
A minimal policy rule is: no direct pushes to protected branches, and no bypass of required checks except a documented, time-bound break-glass process.
Recommended Rollout
- Add
ggshieldscan in CI and set it as required. - Add local/pre-commit scanning for faster fixes.
- Track false positives and create explicit ignore governance.
- Audit exception usage monthly; reduce to near zero.
Verdict
This approach is worth adopting now for teams shipping AI-assisted code. The key is not tool installation, it is enforceability: if the secret-scanning job is not a required gate, you do not have a control.
