CNAUS is an open infrastructure for structuring and verifying AI governance evidence — registry, proof feed, validator, and conformance logic. Built as an open-core standard.
Evidence services for governance, vendor risk, and audit readiness are built on top of the core infrastructure.
CNAUS defines how AI governance evidence can be structured, versioned, validated, and verified. The core is public — so the logic can be inspected and independently reviewed by anyone.
Evidence services — sprints, vendor packs, registers — are built on top of this infrastructure.
View registry-core ↗When an auditor asks for AI governance evidence — where is the proof that a tool was approved, reviewed, and documented? These services structure and verify that evidence, producing reproducible output that any third party can independently check.
For teams that use AI tools but have no structured register.
For teams that need structured, verifiable AI governance documentation.
For companies reviewing AI vendors, or AI providers responding to customer due diligence.
For teams that need their AI evidence package kept current as tools and requirements change.
A structured Evidence Bundle — named, hashed, and verifiable files. Below is a fictional demonstration bundle.
Produce verifiable evidence for audits, enterprise procurement, and regulatory review — without manual reconstruction every time an auditor asks.
Respond to customer due diligence with structured evidence bundles. Make compliance claims independently verifiable instead of static PDFs.
Use CNAUS as a repeatable delivery format for AI governance evidence across client engagements.
Build on the open registry core and conformance logic. RFC0001–RFC0003 define the evidence structure. Operator layer in private development.
Note: CNAUS supports structured evidence for governance review and audit-readiness workflows. CNAUS does not provide legal certification and does not replace legal advice, ISO certification, or regulatory assessment.
Send a short note with your organisation type, which AI tools or vendors are in scope, and what you need — a tool register, vendor review, evidence sprint, or a question about the core.
We respond in writing.