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Reload the pageScore your AI risk management posture against the four functions of the NIST AI Risk Management Framework. 24 questions, under 10 minutes, and a personalized maturity report at the end.
Aligned with NIST AI 100-1 (January 2023) and the NIST AI 600-1 Generative AI Profile (July 2024).
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Free 54-control NIST AI RMF implementation checklist (PDF). Covers all four functions - Govern, Map, Measure, Manage - with every control mapped to its specific NIST AI RMF 1.0 subcategory. Built for federal contractors, regulated industries, and organisations building mature AI risk management programmes.
Read moreFree toolTwenty-four questions across GOVERN, MAP, MEASURE and MANAGE that score your programme against the NIST AI Risk Management Framework.
Read moreGuideA CISO-focused deep dive into the NIST AI RMF GOVERN function and its six subcategories (GOVERN 1-6). Concrete policies, accountability structures, and third-party AI controls, mapped to Areebi platform capabilities and authoritative source documents (NIST AI 100-1, AI 600-1, OMB M-24-10, EO 14110, ISO/IEC 42001).
Read moreGuideA CISO-focused deep dive into the NIST AI RMF MANAGE function and its four subcategories (MANAGE 1-4). Concrete risk prioritization and response, resource allocation, risk communication, and continuous improvement workflows, mapped to Areebi platform capabilities and authoritative source documents (NIST AI 100-1, AI 600-1, OMB M-24-10, EO 14110, ISO/IEC 42001).
Read moreGuideA CISO-focused deep dive into the NIST AI RMF MAP function and its five subcategories (MAP 1-5). Concrete context-setting, risk categorization, capability documentation, impact mapping, and risk tolerance workflows, mapped to Areebi platform capabilities and authoritative source documents (NIST AI 100-1, AI 600-1, OMB M-24-10, EO 14110, ISO/IEC 42001).
Read moreComparisonA detailed comparison of the NIST AI Risk Management Framework and ISO/IEC 42001. Scope, certifiability, audit model, structure, governance coverage, technical lifecycle coverage, when to use one vs the other vs both, and how Areebi maps to each.
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