Week 1
Install observe-only on selected protected repos. Confirm events arrive without changing deploys.
Shadow-mode assessment
Observe first. Control9 watches your GitHub Actions or GitLab paths for two to four weeks, ranks findings, and leaves production deploys alone until you choose enforce mode.
Best first step
See how agentic and human changes would have been governed.
Shadow mode shows which production paths needed approval or deploy verification before you expand automation. Control9 does not write infrastructure code or manage AI tools.
- Observe-only by default
- No blocking during the assessment
- Clear path into enforce mode
Timeline
Weeks 2 to 3
Keep shipping. Review ranked findings, approval gaps, and deploy-verification misses together.
Week 4
Pick at least one enforce-mode path and agree on the first policy starting points.
What you get
Ranked findings for risky changes and missing approvals
Deploy-verification gap analysis
Off-path signals where audit correlation is configured
Recommended policy starting points for enforce mode
Success looks like
- Production deploys stay uninterrupted
- Platform owners review findings together
- At least one enforce-mode candidate is identified
After the assessment
- Convert findingsTurn repeated gaps into policy and approval rules.
- Enforce selectivelyEnable gates only on the production paths that matter.
- Expand coverageAdd more repos, environments, and accounts once trust is real.
Request an assessment
Tell us which protected repos to start with. Do not send secrets, tokens, private keys, or detailed cloud inventory through public contact paths.