Versioned in your repo
Policies live alongside your code, so every rule change is reviewed, traceable, and rolled back like any other commit.
Govern
Policy as Code
Write governance rules as versioned, tested code
Your governance rules live as policy as code: versioned in Git, peer reviewed, and tested like any other code. They run as gates inside your pipelines and on access to platform actions, and every decision the policy makes is logged so you can replay exactly why something was allowed or blocked.
- Governance rules that are reviewed, tested, and versioned alongside your code
- A single rule set that gates pipelines and platform actions consistently
- A replayable decision log behind every allow or deny
The problem
Your governance rules live in pipeline YAML, access lists, and the heads of a few people who have been around long enough to remember them. When an auditor asks why a deployment was allowed, you have a guess, not a log. When a rule changes, there is no review, no test, and no way to know whether the change broke something until a gate stops passing.
Without IntegraCI
- Rules written in YAML or held only in institutional memory
- No way to test a rule change before it reaches production
- Audit questions answered from memory, not from a decision log
- Each team authors its own gates with no shared rule set
With IntegraCI
- Rules authored, reviewed, and merged like any other code
- Policy tests run in CI before any rule ships
- Every allow or deny recorded with its full inputs
- One rule set gates pipelines and platform actions alike
What you get
Tested before they ship
You write tests for your policies and run them in CI, so a broken rule is caught before it reaches production.
Gates where it counts
The same policies run inside pipelines and on access to platform actions, so one rule set guards both deploys and operations.
Every decision logged
Each allow or deny is recorded with its inputs, so you can replay any decision and prove why it landed that way.
How it works
- 1
Author and test
You write a policy as code, add tests for the cases you care about, and merge it through normal review.
- 2
Enforce at the gate
The platform evaluates your policy at pipeline gates and on platform actions, allowing or blocking each request.
- 3
Audit and replay
Every decision is logged with its inputs, so you can audit outcomes and replay them when questions come up.
How it stays governed
The same gates everyone passes, applied here.
Gated by policy
Every pipeline gate and platform action is evaluated against your policy as code. Rules are versioned in your repository, peer reviewed, and tested in CI before they run, so a control cannot be silently skipped or quietly changed without a traceable commit behind it.
Recorded, tamper-evident
Each allow or deny decision writes once to a tamper-evident audit trail with the full inputs that produced it. You can replay any decision and show exactly why it landed the way it did, without relying on memory or manual reconstruction.
Works with your stack
Connect the tools you already run.
Policies are versioned in source control, evaluated at CI/CD gates, applied to identity-bound platform actions, and surface findings into security workflows.
- Atlassian
- Gerrit
- Gitea
- GitHub
- GitLab
- Microsoft
- Akuity
- Amazon Web Services
- Buildkite
- CircleCI
- CNCF Tekton
- Drone CI
- Harness
- Jenkins
- Aqua Security
- DefectDojo
- Elastic
- Google Cloud
- +22 more
Who it’s for
Where teams reach for it.
Prove every required control ran before a release
A regulated team needs to show that a defined set of checks passed before each deployment. Policies as code specify exactly which controls must clear, and the audit trail records each decision with its evidence so the team can answer any compliance question without reconstructing history by hand.
Review and roll back a rule change safely
An engineering team needs to tighten a deployment policy without breaking existing pipelines. They author the change as a commit, test it against known scenarios in CI, and merge it through normal peer review. If a problem surfaces later, reverting the commit restores the prior behavior.
Apply consistent rules across pipelines and platform operations
A platform team wants the same governance rules to apply whether a developer is triggering a pipeline or requesting access to a platform action. One policy set covers both, so there is no gap between what pipelines check and what the platform permits.
Questions, answered.
Does IntegraCI replace the policy engine we already use?
No. IntegraCI governs your existing toolchain by running policy as code at the gates that matter, pipelines and platform actions. It orchestrates and gates the engines you already run rather than replacing them.
How do we write and maintain policies?
You write them as code in your repository, the same way you write application code. You add tests for the cases you care about, review the change in a pull request, and merge it through your normal workflow. Every change is traceable to a commit.
What if a policy decision is disputed in an audit?
Every decision is logged in a tamper-evident audit trail with the inputs that produced it. You can replay the exact decision and show why it landed the way it did, without relying on memory or manual reconstruction.
Can a bad rule change break our pipelines before anyone notices?
A broken rule is caught before it ships. You write tests for your policies and run them in CI, so a change that would incorrectly block or allow a request fails in review, not in production.
Put Policy as Code on your stack.
Request a demo, or read the docs to see how it fits the tools you already run.