Ensure your organisation meets the highest global standards for AI governance with our comprehensive self-assessment tool for Data Storage in ISO/IEC 42001:2023. Designed for information governance professionals, risk managers, and AI compliance leads, this programme delivers a structured pathway to align your data storage practices with the world’s first international standard for AI management systems.
This self-assessment equips your team to confidently navigate the data storage obligations unique to AI systems under ISO/IEC 42001:2023. You’ll move beyond traditional data governance by focusing on AI-specific requirements across the full data lifecycle—from ingestion and retention to traceability and decommissioning.
- Analyse compliance gaps in current data storage architectures against Clause 7.5 (Documented Information) and Clause 8.4 (Data Management), ensuring alignment with AIMS accountability frameworks.
- Map AI data flows to specific standard requirements, enabling end-to-end traceability between datasets, model versions, and performance metrics.
- Establish robust data stewardship by defining ownership roles for training, validation, and operational datasets within existing governance structures.
- Implement risk-based classification for AI datasets, factoring in sensitivity, model criticality, and societal impact to guide secure storage and access protocols.
- Optimise retention and minimisation strategies that support model retraining while adhering to privacy and compliance mandates, including cross-border data transfer risks.
- Embed data storage compliance into internal audit and management review cycles, strengthening organisational resilience and demonstrating due diligence.
Gain clarity, reduce risk, and future-proof your AI initiatives with a systematic approach to compliant, ethical data management. This self-assessment is your essential first step toward AIMS certification and trusted AI deployment.
Take control of your AI governance journey—initiate your assessment today and lead with confidence.
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