Use case
Security that arrives at the end of the pipeline arrives too late. The findings stack up, the review depends on who remembered the checklist, and the evidence has to be reconstructed afterwards. IntegraCI builds the checks into the path your developers already follow, so every change is scanned, gated, and signed as it moves. The result is a pipeline that is secure because of how it is built, not because someone caught it in time.
Who this is for
The problem
When the security steps sit outside the pipeline, they only run when someone remembers to run them, and that someone is usually out of time. Here is what that pattern reliably produces.
Findings pile up at the worst time
When the scan runs the night before release, every issue lands at once. The team triages under deadline pressure instead of fixing things while the change is still fresh.
Reviews depend on who remembered
A checklist in a wiki only works if someone reads it. Skip a step under pressure and an unsigned image or an unscanned dependency slips through unnoticed.
Audits become an archaeology project
When the controls live outside the pipeline, proving they ran means digging through chat logs and screenshots months later. The evidence was never captured as it happened.
How it works
IntegraCI adds the security steps to the path your developers already use to ship. Your scanners run, policy decides what is allowed, and every artifact carries proof of how it was built. You keep your existing tools and runners. The platform makes them mandatory and consistent.
Your scanners, in the pipeline
Connect your existing SAST scanner, dependency checker, and container scanner. IntegraCI runs them as steps in the golden path, so every change is checked the same way without each team wiring it themselves.
Policy gates the deploy
Policy-as-code decides what is allowed to ship. A build that breaks policy is blocked at the gate, not waved through. The same rules apply to every service, written once as code.
Signed provenance on every artifact
Builds are signed and the provenance is recorded, so you can prove what was built, from which commit, by which pipeline. The artifact that reaches production is the one you can account for.
Human-in-the-loop where it matters
When a step needs judgement, the platform pauses for an approval instead of guessing. Sensitive changes wait for a person, and that decision is captured in the trail.
a build that breaks policy stops at the gate
What you experience
Secure-by-default only works if it stays out of your way. The checks run as part of the flow you know, and they tell you what to fix where you can act on it.
Start from a golden path
Scaffold a new service from a template that already carries the scans, the deploy gates, and the provenance. Security is the default starting point, not a follow-up ticket.
Feedback in the pull request
Findings show up where you already work, against the change that caused them. You fix issues while the context is still in your head, not weeks later.
No new dashboards to babysit
You do not leave your workflow to chase results. The pipeline runs the checks, surfaces what failed, and tells you exactly what to change to pass the gate.
Outcomes
Fewer issues reach production
Problems are caught at the commit and the build, where they are cheap to fix, instead of after release where they are not.
Consistent controls across teams
Every service inherits the same gates from the same policy. New repositories are covered on day one, with no per-team setup to forget.
Evidence captured as it happens
Each scan, gate decision, and approval lands in an exportable audit trail, with controls mapped to SOC 2, ISO 27001, and GDPR policy bundles. The proof is ready when the review comes.
The proof
The claim holds because of how it is built. Each control runs in the path, records what it did, and maps to the framework you report against.
Policy-as-code deploy gate
Before any build artifact reaches an environment, a policy evaluation runs against your scan results, signed provenance records, and access context. A build that fails a rule is blocked at the gate. The decision, the rule that fired, and the artifact fingerprint are written immediately to a tamper-evident audit trail that no application layer can overwrite.
Database-enforced row-level security on every evidence record
Every gate decision, scan result, and approval record is isolated at the storage layer to the team that owns it. Isolation is not a permission check in the API; it is enforced by the database itself. A misconfigured service or a compromised token cannot read another tenant's evidence.
Durable human-in-the-loop approval for state-changing actions
When governed AI proposes a remediation (a version pin, a config change, a secret rotation), the durable workflow pauses and routes the proposal to a named approver. Nothing is applied until that person confirms. The approver identity, their decision, and the exact timestamp are appended to the audit trail before execution resumes.
Maps to
The platform maps your controls to these frameworks. The mapping helps you demonstrate them; it is not a certification.
The artifact is the proof
Exportable evidence bundle
A structured export containing gate decisions, signed provenance records, scan results, approval records, and a control mapping to the compliance frameworks you have configured, ready to attach to an audit request or a risk review without manual assembly.
Under the hood
This job is not a separate product. It is the platform seen from one angle. Here are the capabilities it runs on.
Application Security Testing
Run your scanners as pipeline steps, then gate on results
SecureSupply Chain Security
Prove what you shipped is what you built
GovernPolicy as Code
Write governance rules as versioned, tested code
GovernCompliance & Audit
Tamper-evident audit trail with one-bundle evidence export
DeliverContinuous Integration
Govern the CI you already run with policy as code
SecureAccess Governance
Just-in-time, time-bound access instead of standing keys
No. IntegraCI orchestrates and gates the tools you already have. Your scanners stay in place and continue to produce results in their native format. IntegraCI enforces that they run on every build and that their output passes your policy before a deploy can proceed.
Audit records are written append-only and isolated by database-enforced row-level security. No application-layer code, including IntegraCI itself, can update or delete a record once it is written. The exported evidence bundle reflects the same records that were written at the moment each event occurred.
Only builds that fail a rule are stopped. Teams whose work passes every configured policy sail through automatically with no added steps. The gate friction is reserved for the cases where a real control would otherwise be breached, and the dashboard tells the developer exactly which rule fired and what is needed to clear it.
No. Governed AI in IntegraCI always proposes and pauses. A named person must approve any state-changing action before it runs. The approval, the approver identity, and the timestamp are recorded in the audit trail before execution resumes, so there is a verifiable human decision behind every AI-assisted change.
We will walk you through a golden path with your scanners, policy gates, signed provenance, and the audit trail that records it all. Bring a service you want to secure and we will show you where the gates land.