Versatile AI Risk Assessment

Glossary Governance and evidence

Review evidence and effectiveness testing

A traceable result for a control that was actually tested.

As of: September 2026 · Glossary with 46 terms

What is Review evidence and effectiveness testing?

Review evidence connects the question, test conditions, system version, expected result and observed result. It shows what was tested and what can be concluded. A planned test or link to a control is not yet evidence of its effectiveness.

Also record the review scope, responsible person and unresolved issues. The reading list collects such questions for preparation; it grants neither approval nor confirmation that obligations are met.

Sources for context: NIST AI RMF Core

EvidenceTest planApproval

More terms from the subject area Governance and evidence.

DPIA threshold analysis Screening under Art. 35 GDPR: does the processing need a full impact assessment? EU AI Act risk classes Classification of AI systems by risk, from prohibited practices to minimal risk. TOMs: technical and organisational measures Technical and organisational safeguards under Art. 32 GDPR, appropriate to the risk.

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“Review evidence and effectiveness testing”. Versatile AI Risk Assessment, glossary of AI risk analysis, as of September 2026.
https://www.versatile-ai-risk-assessment.com/en/wissensbasis/glossary/pruefnachweis/

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