ISO 42001
Who needs it
Organizations that develop, deploy, or provide AI systems and want a certifiable, auditable framework for AI governance, whether to satisfy customer due diligence, internal risk management, or emerging regulatory expectations like the EU AI Act.
Key requirements
A documented AI management system scope, AI-specific risk assessment and treatment, AI system impact assessments, lifecycle governance covering development through decommissioning, and management review and continual improvement, following the same PDCA structure as ISO 27001.
Cyber/privacy implications
AI systems introduce risk categories, model behavior, training data provenance, and output reliability, that traditional information security controls don't fully address, requiring governance specific to how AI systems are built, monitored, and retired.
Assessment methodology
AI system inventory and risk-tier classification, gap assessment against ISO 42001's AIMS requirements, impact assessment process build-out, and readiness review ahead of a formal certification audit.
Implementation phases
Assess
Inventory AI systems in use or development and assess current governance maturity.
Build
Establish the AIMS documentation, risk assessment, and impact assessment processes.
Certify
Support through Stage 1 and Stage 2 certification audits with an accredited body.
Evidence & documentation requirements
AI system inventory, AI-specific risk and impact assessments, AIMS policy documentation, and management review records demonstrating ongoing governance rather than a one-time exercise.
Common mistakes
Treating ISO 42001 as a rebrand of existing information security controls instead of building genuinely AI-specific risk and impact assessment processes; scoping the AIMS around only customer-facing AI features while ignoring internal tools with equal or greater risk.
Related standards
Expert review
FAQ
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