Govern
Governance shouldn't mean a spreadsheet someone forgets to update and a scramble the week before the review. IntegraCI turns your rules into policy as code, checks them on every run, and records each action in a trail no one can quietly edit. When the auditor asks, you export the evidence instead of reconstructing it. The same controls hold from a guided evaluation to a self-hosted, air-gapped install.
Policy bundles
The frameworks you report against shouldn't live in a sheet. Pre-built policy bundles map to common controls and ship as policy as code, so your rules are versioned, reviewed, and evaluated at the gate. A change that breaks policy stops there.
Policy as code, versioned
Rules live in your repo and ship with policy-as-code. They are reviewed, versioned, and tested like any other code, not edited in a console no one tracks.
Bundles mapped to frameworks
Pre-built policy bundles map to SOC 2, ISO 27001, and GDPR controls. You start from a baseline instead of writing every rule from scratch.
Checked on every run
Gates evaluate on deploy, on access requests, and on agent actions. A change that breaks policy is blocked at the seam, not flagged in a report next quarter.
one deny blocks the deploy
each entry chained to the last
Write-once audit
Every governed action is recorded write-once and cryptographically chained, so the trail proves itself: change a record and the chain stops adding up. Deploys, approvals, access changes, and AI actions all land in the same place, ready to export.
Tamper-evident
Each entry is cryptographically linked to the one before it. Change or delete a record and the chain no longer adds up, so quiet edits show.
Write-once
Actions append records. Nothing rewrites history. Your evidence is what the platform actually did, not a reconstruction after the fact.
Exportable on demand
Pull the trail for a date range or a service and hand it over. The auditor gets something they can verify, not a folder of screenshots.
Evidence and reports
Compliance reporting draws on activity the platform already recorded, so the evidence is a byproduct of doing the work, not a second job. Run a report against a framework bundle on demand or on a schedule, and get a structured artifact with each control mapped to what backs it.
Evidence from real activity
Controls draw on what the platform recorded: approvals, scans, deploys, access changes. There is no separate evidence pipeline to keep in sync.
Reports you can schedule
Generate a compliance report against a framework bundle on demand or on a schedule. The output is a structured artifact, not a manual write-up.
Controls mapped, not claimed
Each control points to the framework requirement it answers and the activity that backs it. You show the mapping, not a checkbox.
These are policy bundles named for the frameworks they map to, with controls mapped to the requirements. They are not a certification or a claim of compliance. They give you policy you can run, read, and test, plus the evidence to back it.
Access governance
Access moves through request and approval with a human in the loop, and every grant and revoke is recorded. Your identity provider stays the source of truth, and the tenant boundary is enforced in the database, so access cannot quietly cross it.
Requests, approvals, grants
Access flows through a request and approval path with a human in the loop. Every grant and every revoke lands in the audit trail.
Your IdP stays the source of truth
Joiners and leavers sync from your identity provider, so a leaver loses access the moment your IdP says so. Single sign-on is included from the Team plan up.
Scoped by tenant
Access is bounded by tenant. Database-enforced row-level security enforces the boundary in the database, so a grant cannot reach across tenants.
Onboarding guardrails
Decide which checks are mandatory and which are advisory, per tier, then let the platform hold the line. Guardrails block at onboarding, deny at the deploy gate, and keep scoring afterwards, so a service that drifts out of policy surfaces instead of slipping through.
Mandatory versus optional, per tier
Set which checks a service must pass to onboard, and which are advisory. The policy is yours to author, not a fixed list baked into the product.
Enforced at onboarding and deploy
A service that misses a required guardrail is blocked at onboarding, and a deploy that breaks one is denied at the gate. The rule holds at both ends.
Continuous, not one-off
Guardrails keep scoring after onboarding, so drift surfaces instead of passing once and being forgotten.
Scorecards
Every service carries a scorecard that rolls up its live signals, open CVEs, code-scan findings, signed provenance, and image freshness, into one grade. Onboarding guardrails enforce the rest of the bar, like ownership, gates, and SLOs, so you see who is on the paved road and who has drifted, without chasing teams for status.
1 check needs attention
Capabilities
The full set of controls that ship with the Govern pillar, from the tamper-evident trail to onboarding guardrails.
Policy as Code
Write governance rules as versioned, tested code
Compliance & Audit
Tamper-evident audit trail with one-bundle evidence export
Posture Management
See your real DevSecOps posture from evidence, not surveys
Onboarding Guardrails
Mandatory or optional controls per tier, enforced everywhere
Risk Assessments
Threat models and DPIAs, drafted by AI, signed off by people
Data Subject Rights
Self-service export and erasure, with dual control
Data Governance
Lineage and quality signals for your datasets
Request a demo and author your first policy bundle, or read how the audit trail, gates, and evidence fit together. Self-host up to air-gapped, or let us run it.