ISO 42001 A.5.1: AI Risk Assessment Process
As organizations integrate AI systems at scale, unmanaged AI risks can compromise security, compliance, and customer trust. ISO 42001 A.5.1 requires you to establish a formal, repeatable process for identifying and evaluating risks across all AI systems—including third-party tools. This control ensures your organization can detect AI-specific threats before they impact operations.
What this means
A.5.1 mandates a documented AI risk assessment process that covers the entire lifecycle of AI systems. Your organization must define clear criteria for identifying AI risks, establish structured methods for analyzing and evaluating those risks, and apply this process consistently across all AI systems you own or depend on. Third-party AI systems—including SaaS tools, APIs, and external models—must be assessed under the same framework. The process must be maintained and updated as your AI systems evolve.
How to comply
- 1.Document your AI risk assessment methodology, including risk identification criteria specific to AI (e.g., data quality, model bias, data privacy, security threats).
- 2.Define risk analysis methods such as qualitative scoring, quantitative modeling, or threat modeling tailored to AI systems.
- 3.Create a process to assess AI systems at key lifecycle stages: development, deployment, and ongoing operation.
- 4.Establish a third-party AI assessment requirement and integrate vendor AI risk reviews into your procurement process.
- 5.Maintain a centralized inventory of all AI systems in use and their associated risk assessments.
- 6.Review and update the assessment process annually or when AI capabilities, threat landscapes, or organizational needs change.
- 7.Document roles, responsibilities, and escalation paths for risk remediation.
Evidence auditors look for
- AI Risk Assessment Framework document with defined criteria and evaluation methods.
- Completed risk assessment reports for each AI system in production.
- Third-party AI vendor risk assessment questionnaires and responses.
- Risk register or matrix tracking identified AI risks and mitigation status.
- Meeting minutes or approval records showing management review of AI risk assessments.
- Process improvement logs demonstrating updates to the assessment methodology.
- Training records confirming staff understand AI risk assessment procedures.
Frequently asked questions
When will FAQs be available?
The FAQ for this control is currently being prepared.
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