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Use case · Runtime-Informed Release Governance
Prevent risky releases from reaching production
Your next release should benefit from what production has already taught you. Raven Gatekeeper combines runtime intelligence with build analysis to prevent releases that violate your security policy, with a clear reason developers can act on.
/ 02 — SCENARIOS
A CVE list is not a release decision.
SCENARIO A
A vulnerable dependency returns in the next build
The next image includes a vulnerable dependency. Runtime intelligence indicates its vulnerable function is likely to execute. A matching gate policy fails the build before it progresses toward production.
SCENARIO B
A routine release gets buried in CVE noise
Package presence alone cannot tell you which findings deserve to hold a release. Combine runtime relevance, exposure and severity so the gate reflects your risk policy and developers know what needs attention.
/ 03 — MECHANISM
Turn production knowledge into release control.
1
Learn from running applications
Use evidence of loaded libraries and executed functions to understand runtime relevance.
2
Evaluate the next build
Connect image metadata and findings with runtime intelligence, then apply your release policy.
3
Enforce the decision in CI
Fail the pipeline when an enforced control is violated. Show developers the finding and failed policy.
/ 04 — EVIDENCE
Show why the release did not ship.
Follow one build from its finding to the policy decision. See the runtime context behind the failed control and the CI result that prevented the release from progressing.
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1
What is being released
Image/build identifier and the relevant package or vulnerability.
2
Why the gate failed
Failed control, threshold and supporting context; any prediction labeled.
3
What CI prevented
Failed gate job and skipped downstream release step from that run.
Works with GitHub Actions, GitLab CI/CD, Jenkins and Bitbucket Pipelines.
Make security policy part of the release process.
Connect to GitHub Actions, GitLab CI/CD, Jenkins or Bitbucket Pipelines.
Combine runtime relevance with vulnerability, exposure and artifact controls.
Set thresholds and scoped exceptions, with explicit policy outcomes.
/ 06 — FAQ
Questions before you deploy
How can runtime evidence help before a new build runs?
Gatekeeper combines observations from running applications with build analysis to predict runtime relevance. It brings production knowledge into the release decision; it does not claim to have executed every path in the new build.
What happens when a control fails?
With CI failure enforcement enabled, a violated control fails the pipeline. Configure the gate before publication or deployment so a failing build cannot progress through that release path.
Does passing the gate mean the application is fully protected?
Passing means the build met the configured release controls using available evidence. Raven Runtime Prevention provides the complementary enforcement layer for unauthorized actions after deployment.
Use what production teaches you. Decide what ships next.
See how Raven connects runtime intelligence to a release policy your pipeline can enforce and your developers can understand.
