Determine the competence needed by people whose work affects AI performance, make sure they are competent through education, training or experience, act to close gaps where needed (for example training, mentoring, reassignment, hiring or contracting) and evaluate whether those actions worked. Keep documented evidence of competence.
This control maps to 64 controls across 22 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.
NIST-CSF-PR.AT-01 Personnel are provided with awareness and training so that they possess the knowledge and skills to perform general tasks with cybersecurity risks in mind
NIST-CSF-PR.AT-02 Individuals in specialized roles are provided with awareness and training so that they possess the knowledge and skills to perform relevant tasks with cybersecurity risks in mind
You are reading one control. How much of ISO/IEC 42001:2023 have you already done?
ISO/IEC 42001:2023 7.2 is one control. If you already hold one of the frameworks below, a reviewed crosswalk already says how much of ISO/IEC 42001:2023 your existing evidence covers. Hold NIST AI Risk Management Framework (AI RMF 1.0) and 30 of 38 ISO/IEC 42001:2023 controls already carry evidence.
Each report names every control your existing framework evidences, every one it does not, the reasoning behind each claim, and the claims that were argued against and rejected. 0 were rejected on the NIST AI Risk Management Framework (AI RMF 1.0) pair alone.