UK AI Cyber Security Code of Practice 5.2: Processes and tools to track, authenticate, version and secure AI assets

What does 5.2 require?

Within their wider software security practice, developers, data custodians and system operators run processes and tools that track, authenticate, version control and secure their assets, reflecting the added complexity of AI-specific assets such as models, weights, datasets and prompts.

Maintained by Gerard Blokdyk

Other controls in Secure development (Principles 5 to 9) – UK AI Cyber Security Code of Practice

5.1 Comprehensive asset inventory including interdependencies
5.3 Disaster recovery plans tailored to attacks on AI systems
5.4 Protect sensitive data and sanitise inputs, with proportionate protection of weights
6.1 Evaluate access control frameworks for APIs, models, data and pipelines
6.2 Controls on externally offered APIs against attacks on the AI system
6.3 Dedicated, segregated environments for development and model tuning
6.4 Publish a clear vulnerability disclosure policy
6.5 AI system incident management plan and recovery plan

Query this from an agent

The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.

MCP endpoint All UK AI Cyber Security Code of Practice controls