Security and privacy decision
Comp AI
Self-hosting the provided AGPL-3.0 Comp AI repository is the smallest realistic replacement; a technical user can deploy and maintain it instead of paying while accepting the loss of vendor-managed support, bundled audits, and hosted SLAs.
Visit website↗Not priced
No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.
$20one-off6 h to build
$350/mo6 h/mo upkeep
No published price to break even against.
Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Comp AI alternatives, with the arithmetic →
What a replacement has to do
- Continuously collect evidence from integrations and devices, run automated checks, generate and publish policy artifacts, and surface failures on a trust portal.
What it still won’t have
- Hosted 1:1 Slack support with in-house experts (fast response)
- Bundled audit and penetration testing included in commercial plans
- Hosted uptime SLA, incident response and multi-tenant scaling managed by vendor
- Managed trust center hosting and vendor onboarding services
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
Comp AI does not publish a price we could read, so there is nothing to compare against. What building costs is below.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a self-hosted instance of Comp AI from https://github.com/trycompai/comp using Docker Compose (or Kubernetes) with Postgres, Redis, and S3-compatible object storage. In scope: repository clone and app deployment, DB migrations, environment configuration, TLS via Nginx/Traefik, installing the Comp AI device agent on sample endpoints, wiring 3 integrations (e.g., GitHub, AWS, Slack) to produce automated evidence, setting up daily cloud checks and scheduled automated tests, and publishing a Trust Center served from the instance. Out of scope: running paid audits/penetration tests and providing vendor support SLAs. Require error handling for failed integrations, automated migration rollback, health checks, backup/restore docs, and at least basic unit/integration tests for the deployment scripts and scheduled jobs.
How we checked
How the score was reached
- Self-host verdict base92
- An open-source build was found+5
- 4 cited sources+3
- 2/2 assessment runs agreed+4
- Evidence score99
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 4
Every page the run actually retrieved.
- official productComp AI: AI Compliance Software | Comp AI
- official pricingVanta Pricing 2026: Complete Cost Breakdown | Comp AI
- official docsComp AI Documentation
- open sourceintuitem/ciso-assistant-community
Integrity checks
What held up, and what did not.