Industry guide
ISO 27001 for AI companies
AI buyers ask about data handling and model governance — ISO 27001 plus ISO 42001 answers both from one management-system foundation.
Why AI companies certify
Enterprise AI buyers run two parallel diligence tracks: information security (ISO 27001) and AI governance (ISO 42001, the AI management-system standard). The two share the management-system machinery — risk assessment, objectives, internal audit, management review — so a combined program is far cheaper than two separate ones.
The combined path
- Build one management system with the shared clauses (4–10) serving both standards.
- Add ISO 27001's Annex A controls for information security, then ISO 42001's Annex A/B for AI-specific controls (data quality, model lifecycle, responsible-AI objectives).
- Certify with a CB accredited for both. BARR Advisory lists ISO 42001 accreditation alongside ISO 27001; confirm any CB's 42001 scope before committing.
Scoping AI systems
- Training data is in scope. Data sourcing, consent, and lineage are the controls AI auditors probe hardest.
- Model deployment pipelines count. MLOps infrastructure is production infrastructure — scope it like one.
- Customer data separation. Multi-tenant AI products need demonstrable data isolation.
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