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Regulation

Make evidence part of the regulatory conversation.

Make evidence part of the regulatory conversation.

Documentation, traceability and oversight matter in many regulated AI uses. VeriTON’s evidence layer can support those tasks within a defined technical scope.

An open book with glass pages, a balance scale beside it and a green glass sphere between them.
Conceptual illustration
EU AI Act obligations and the records that can support them
ArticleObligationRecord that can support it
Article 11Technical documentationConnect the system description with maintained, versioned supporting material.
Article 12Record keepingMake relevant events and execution context available for traceability.
Article 15System qualityKeep accuracy, robustness and cybersecurity assessments tied to their actual scope.
EU AI Act high-risk system requirements. Applicability depends on role, use and dates. Technical evidence can support an assessment; it does not confer legal approval.
Primary sourcesArticle 11Article 12Commission frameworkReviewed 2 October 2026; primary sources in the blueprint.

Explore in detail.

A clear path from the idea to the inputs, decisions and evidence behind it.

  1. EU AI ActRequirements depend on role, use and risk classification. Start with the applicable system or model category.
  2. Evidence mappingConnect an obligation to the record it may need.
  3. Dates and scopeUse a maintained, dated source record rather than one universal compliance deadline.
  4. Beyond the EUAdd jurisdiction pages only after primary-source review of their specific duties.

Put the idea in context.

Start with the question you need answered.

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