AI governance & compliance
AI governance mapped to the frameworks you report against
Vayon AI gives your organization the controls, framework mapping and evidence that support its AI-governance obligations. The product is not the compliant party — your organization is — but it provides concrete artifacts your program can point to.
Frameworks Vayon AI maps to
EU AI Act
Transparency and risk obligations for AI systems, including Article 50 disclosure that a user is interacting with AI.
Vayon AI can present the Article 50 disclosure and enforce policy per request, and maps its controls to the Act’s transparency and record obligations.
NIST AI RMF
A voluntary framework to govern, map, measure and manage AI risk.
Vayon AI’s policy, routing and evidence controls map to the Govern and Manage functions, giving your risk program concrete artifacts to point to.
ISO/IEC 42001
The management-system standard for artificial intelligence (AIMS).
Vayon AI provides operational controls and records that support an AI management system built around the standard.
YAHAV 5.48
An Israeli information-security regulation profile.
Vayon AI includes a selectable YAHAV 5.48 regulation profile whose controls map to the regulation, alongside EU, NIST and ISO profiles.
How the mapping works
- Select the regulation profile for the deployment — EU, NIST, ISO or YAHAV.
- Policy is applied per request before a model runs.
- Organizational-knowledge queries produce a reviewable record.
- Your team maps the resulting controls and evidence to its reporting obligations.
Frequently asked questions
Who is responsible for compliance — the product or our organization?
Your organization is the responsible party, not the product. Vayon AI provides controls, framework mapping and evidence that support your compliance program under these frameworks.
Which frameworks does Vayon AI map to?
EU AI Act (including Article 50 disclosure), NIST AI RMF, ISO/IEC 42001 and YAHAV 5.48. The regulation profile is selectable per deployment.
What evidence does it produce?
Organizational-knowledge queries produce a reviewable record, and policy decisions are applied per request, so your program has artifacts to report against.