NIST AI RMF Implementation for Microsoft Stack — 2026 Guide

NIST AI Risk Management Framework (AI RMF 1.0) is the de facto US federal AI governance baseline and is increasingly required by state, local, and regulated commercial buyers. For enterprises deploying Microsoft Copilot, Azure OpenAI, Power BI Copilot, or Copilot Studio agents, NIST AI RMF compliance maps cleanly to Microsoft Purview, Azure AI Foundry, and Microsoft Sentinel — but only if the implementation is intentional. EPC Group has built a 47-control crosswalk that maps each NIST AI RMF subcategory (Govern 1.1 through Manage 4.3) to specific Microsoft tenant settings, Azure deployment patterns, Purview policies, and Sentinel detections. Govern function: AI policy authorship aligned to NIST 800-53 Rev 5 controls; AI risk register integrated with enterprise risk management; RACI for AI-related decisions; legal review of AI vendor contracts; staff AI literacy training (target: 100% of users with Copilot license complete a 45-minute training module). Map function: AI use case inventory with NIST risk classification; affected stakeholder identification; trustworthy AI characteristic assessment (validity, reliability, safety, security, privacy, fairness, explainability, accountability); Microsoft Purview content explorer for data classification. Measure function: model performance baselines via Azure AI Foundry; drift detection thresholds; bias evaluation using Microsoft Fairlearn; accuracy and robustness monitoring; user feedback integration. Manage function: incident response playbooks for AI-related events; Microsoft Sentinel detections for prompt injection, data exfiltration via Copilot, and abnormal AI use patterns; model retirement procedures; lessons-learned process. The crosswalk is the deliverable in EPC Group's NIST AI RMF Readiness Assessment ($75,000 fixed-fee, 6 weeks) — gap analysis against all 47 controls, risk register, executive briefing, audit-ready evidence pack mapped to NIST 800-53 Rev 5 + AI RMF subcategories. NIST AI RMF Implementation engagement ($175,000-$425,000 fixed-fee, 14-26 weeks) — full deployment of all 47 controls, Sentinel rule build, Purview policy authorship, staff training, internal audit dry-run, board-ready evidence pack. EPC Group has implemented NIST AI RMF for 6 federal agencies, 3 federal contractors, and 9 regulated commercial enterprises. Errin O'Connor was a contributor to the FedRAMP framework and has worked directly with U.S. CIO Vivek Kundra on the Obama administration's 25-Point Plan to reform federal IT — federal AI governance work is core EPC Group muscle, not a stretch. Outcome: 100% pass rate on internal audit dry-runs; average 60-day acceleration of FedRAMP Moderate AI authorizations versus DIY implementations; zero NIST-related findings during 6-month post-implementation observation. To engage: contact@epcgroup.net or (888) 381-9725. Detail at /services/ai-governance and /government-power-bi-consulting.