Testing and evaluation of AI systems needs adapted versions of conventional verification and validation because the ability of an AI system to achieve planned results differs conceptually from conventional software; evaluation covers the model, the data and the system in context.
This control maps to 7 controls across 3 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.
Every mapping shown was judged rather than inferred from wording similarity, and the ones that failed review are published too. See the coverage reports and what was rejected.
The graph holds this control, the 7 it maps to, and the evidence behind each claim, over MCP and REST.