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The ISO 42001 AI risk assessment

By Sam Rivera, Founder, SentinelPanda · June 20, 2026 · 1 min read · ISO 42001

An AI risk assessment looks outward in a way a security one does not — at the people the system affects, not just the assets it runs on.

Risk, with a wider lens

The ISO 42001 risk assessment evaluates the risks AI systems pose — but its lens is broader than a security risk assessment. Alongside risks to the organisation, it explicitly weighs impacts on individuals and society: fairness, safety, rights, and unintended consequences. That outward focus is what makes it an AI assessment rather than a security one.

Across the lifecycle

The assessment spans the AI lifecycle — development, deployment, and operation — because risks shift as a system moves from training to production to drift. A model fine for its intended use can become risky when applied beyond it, which the assessment should anticipate.

It drives control selection

As in ISO 27001, the risk assessment determines which Annex A controls apply and how deeply, recorded in the applicability statement. High-risk AI systems earn the strongest controls — oversight, impact assessment, transparency; low-risk ones less. The assessment makes the AIMS proportionate.

Keep it current

AI risk is dynamic, so the assessment is reviewed as systems and uses change. SentinelPanda links each AI system to its risk assessment and the controls that follow, keeping them connected as the AI footprint evolves.

Classifying AI system risk AI impact assessments ISO 42001 Annex A controls

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