US AI compliance

04/May/2026

json [ { "question": "How do NIST AI RMF and the EU AI Act differ?", "answer": "NIST AI RMF EU AI Act mapping is the practical work of running one US functional backbone (Govern, Map, Measure, Manage) and layering EU risk-tier framing (unacceptable, high, limited, minimal) on top for EU-facing systems." }, { "question": "Which enterprise AI systems typically fall into higher-risk tiers?", "answer": "Higher-risk systems usually include credit scoring, insurance underwriting, employment screening, healthcare triage, biometric identification, critical infrastructure, and law enforcement uses, though exact classification varies by jurisdiction." }, { "question": "How do NIST AI RMF functions map to the EU AI Act?", "answer": "NIST functions map thematically to EU AI Act obligations. Govern aligns with risk management and accountability. Map and Measure align with data governance, transparency, and accuracy. Manage aligns with human oversight and post-market monitoring." }, { "question": "Which controls satisfy multiple frameworks at once?", "answer": "Six controls do most of the work: risk assessment, data governance, technical documentation, human oversight, post-market monitoring, and incident reporting. Build them once and they cover most regimes." }, { "question": "What is the implementation sequence for US enterprises?", "answer": "Inventory AI systems, classify each by risk, baseline against NIST AI RMF, gap-check US state and sector rules, layer EU AI Act for EU exposure, then add India, UAE, Singapore, and Canada cross-references where you operate." } ] illustration

json [ { "question": "How do NIST AI RMF and the EU AI Act differ?", "answer": "NIST AI RMF EU AI Act mapping is the practical work of running one US functional backbone (Govern, Map, Measure, Manage) and layering EU risk-tier framing (unacceptable, high, limited, minimal) on top for EU-facing systems." }, { "question": "Which enterprise AI systems typically fall into higher-risk tiers?", "answer": "Higher-risk systems usually include credit scoring, insurance underwriting, employment screening, healthcare triage, biometric identification, critical infrastructure, and law enforcement uses, though exact classification varies by jurisdiction." }, { "question": "How do NIST AI RMF functions map to the EU AI Act?", "answer": "NIST functions map thematically to EU AI Act obligations. Govern aligns with risk management and accountability. Map and Measure align with data governance, transparency, and accuracy. Manage aligns with human oversight and post-market monitoring." }, { "question": "Which controls satisfy multiple frameworks at once?", "answer": "Six controls do most of the work: risk assessment, data governance, technical documentation, human oversight, post-market monitoring, and incident reporting. Build them once and they cover most regimes." }, { "question": "What is the implementation sequence for US enterprises?", "answer": "Inventory AI systems, classify each by risk, baseline against NIST AI RMF, gap-check US state and sector rules, layer EU AI Act for EU exposure, then add India, UAE, Singapore, and Canada cross-references where you operate." } ] illustration

NIST AI RMF EU AI Act Mapping: Enterprise Controls

NIST AI RMF EU AI Act mapping for US enterprises: use NIST as the backbone, layer EU risk tiers, cross-reference…

04/May/2026

Modern enterprise boardroom representing AI governance committee oversight

Modern enterprise boardroom representing AI governance committee oversight

Enterprise AI Governance Framework: A Reference Structure for Regulated Enterprises

An enterprise AI governance framework maps controls to regulations across the AI lifecycle. Here's how to structure one that scales…