ETSI EN 304 223 Securing AI 5.2.2-1: Evaluate access control frameworks for APIs, models, data and pipelines

What does 5.2.2-1 require?

Developers and system operators evaluate how the organisation's access control frameworks apply and identify the measures needed to secure APIs, models, data, and the training and processing pipelines.

Maintained by Gerard Blokdyk

Other controls in Clause 5.2: Secure development (Principles 5 to 9) – ETSI EN 304 223 Securing AI

5.2.1-1 Comprehensive asset inventory including interdependencies
5.2.1-2 Processes and tools to track, authenticate, version and secure AI assets
5.2.1-3 Disaster recovery plans tailored to attacks on AI systems
5.2.1-4 Protect sensitive data and sanitise inputs, with proportionate protection of weights
5.2.2-2 Controls on externally offered APIs against attacks on the AI system
5.2.2-3 Dedicated, segregated environments for development and model tuning
5.2.2-4 Publish a clear vulnerability disclosure policy
5.2.2-5 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 ETSI EN 304 223 Securing AI controls