ISO27001 does have #AI #ML-specific clauses!!! – #DhananjayRokde

Thought that #ISO27001 doesn’t have #AI #ML-specific clauses!!!

Since it was designed as a technology-agnostic framework, several existing clauses become particularly critical when implementing AI and ML systems. Here are the key ones that directly apply:

A.8.2 – Information Classification becomes crucial for AI systems because training data often contains sensitive information that needs proper classification and handling. Many organisations discover too late that their ML models inadvertently learned from confidential data.

A.12.6 – Management of Technical Vulnerabilities takes on new dimensions with AI systems. Unlike traditional software, AI models can be vulnerable to adversarial attacks, data poisoning, and model inversion attacks that can extract training data. The 2019 incident, where researchers extracted individual faces from a facial recognition system, demonstrates why this clause needs AI-specific interpretation.

A.14.2 – Security in Development and Support Processes requires significant adaptation for MLOps pipelines. Traditional secure development practices don’t address model versioning, data lineage, or the reproducibility challenges inherent in ML development cycles.

A.15.1 – Information Security in Supplier Relationships becomes complex when using third-party AI services or pre-trained models where you can’t fully audit the training process or data sources.
The knowledge base emphasises that risk management should be integrated into decision-making processes rather than treated as separate compliance activities. This principle applies directly to AI governance – instead of creating parallel AI risk frameworks, organisations should embed AI risk considerations into existing business processes and decisions.