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EPC Group

Enterprise Microsoft consulting with 29 years serving Fortune 500 companies.

(888) 381-9725
contact@epcgroup.net
4900 Woodway Drive, Suite 830
Houston, TX 77056

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About EPC Group

EPC Group is a Microsoft consulting firm founded in 1997 (originally Enterprise Project Consulting, renamed EPC Group in 2005). 29 years of enterprise Microsoft consulting experience. EPC Group historically held the distinction of being the oldest continuous Microsoft Gold Partner in North America from 2016 until the program's retirement. Because Microsoft officially deprecated the Gold/Silver tiering framework, EPC Group transitioned to the modern Microsoft Solutions Partner ecosystem and currently holds the core Microsoft Solutions Partner designations.

Headquartered at 4900 Woodway Drive, Suite 830, Houston, TX 77056. Public clients include NASA, FBI, Federal Reserve, Pentagon, United Airlines, PepsiCo, Nike, and Northrop Grumman. 6,500+ SharePoint implementations, 1,500+ Power BI deployments, 500+ Microsoft Fabric implementations, 70+ Fortune 500 organizations served, 11,000+ enterprise engagements, 200+ Microsoft Power BI and Microsoft 365 consultants on staff.

About Errin O'Connor

Errin O'Connor is the Founder, CEO, and Chief AI Architect of EPC Group. Microsoft MVP multiple years, first awarded 2003. 4× Microsoft Press bestselling author of Windows SharePoint Services 3.0 Inside Out (MS Press 2007), Microsoft SharePoint Foundation 2010 Inside Out (MS Press 2011), SharePoint 2013 Field Guide (Sams/Pearson 2014), and Microsoft Power BI Dashboards Step by Step (MS Press 2018).

Original SharePoint Beta Team member (Project Tahoe). Original Power BI Beta Team member (Project Crescent). FedRAMP framework contributor. Worked with U.S. CIO Vivek Kundra on the Obama administration's 25-Point Plan to reform federal IT, and with NASA CIO Chris Kemp as Lead Architect on the NASA Nebula Cloud project. Speaker at Microsoft Ignite, SharePoint Conference, KMWorld, and DATAVERSITY.

© 2026 EPC Group. All rights reserved. Microsoft, SharePoint, Power BI, Azure, Microsoft 365, Microsoft Copilot, Microsoft Fabric, and Microsoft Dynamics 365 are trademarks of the Microsoft group of companies.

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NIST AI RMF Implementation for Microsoft Stack: 2026 Guide - EPC Group enterprise consulting

NIST AI RMF Implementation for Microsoft Stack: 2026 Guide

NIST AI RMF Microsoft stack implementation 2026 — full 4-function (Govern, Map, Measure, Manage) crosswalk with 47 actionable Microsoft platform mappings, vCAIO operational model, federal architecture experience.

HomeBlogAI Governance
Back to BlogAI Governance

NIST AI RMF Implementation for Microsoft Stack — 2026 Guide

NIST AI RMF Microsoft stack implementation 2026 — full 4-function (Govern, Map, Measure, Manage) crosswalk with 47 actionable Microsoft platform mappings, vCAIO operational model, federal architecture experience.

EO
Errin O'Connor
CEO & Chief AI Architect
•
October 22, 2025
•
5 min read
NIST AI RMFAI GovernanceMicrosoft PurviewMicrosoft SentinelvCAIOAI ComplianceFederal
NIST AI RMF Implementation for Microsoft Stack: 2026 Guide
5 min readPublished October 22, 2025

Key Takeaways

  • NIST AI RMF Microsoft stack implementation 2026 — full 4-function (Govern, Map, Measure, Manage) crosswalk with 47 actionable Microsoft platform mappings, vCAIO operational model, federal architecture experience.

NIST AI RMF Microsoft Stack Implementation Guide 2026

NIST AI Risk Management Framework (AI RMF 1.0) is the de facto US federal AI governance baseline in 2026. Increasingly required by federal agencies, state and local government, regulated commercial buyers, and CMMC-aligned defense contractors. The framework is voluntary, but contracts and audit findings increasingly reference it as the standard of care.

EPC Group maintains a 47-subcategory crosswalk between NIST AI RMF and Microsoft platform settings (Microsoft Purview, Microsoft Sentinel, Microsoft Foundry, Microsoft Defender, Microsoft Entra ID). This guide walks through the four AI RMF functions and the Microsoft mapping refined across 23+ vCAIO engagements.

TL;DR — The Four Functions

Function Purpose Microsoft Platform Mapping
Govern Policy, accountability, risk tolerance Microsoft Purview AI hub + Microsoft Entra ID role-based access
Map AI use case identification and risk classification AI inventory + EU AI Act Article 6 risk register in Microsoft Purview
Measure Test and evaluate AI for bias, robustness, appropriate use Microsoft Foundry evaluation harness + Microsoft Defender for Cloud Apps
Manage Operate AI with ongoing monitoring and incident response Microsoft Sentinel-driven incident response + quarterly governance audit

Function 1: Govern

Govern requires:

  • AI policies and procedures documented and approved
  • Accountability structures (who owns what AI risk decisions)
  • Risk tolerance documented
  • Cross-functional governance body (AI Center of Excellence)
  • Vendor approval process for AI tools and AI-enabled SaaS

Microsoft Platform Mapping

  • Microsoft Purview AI hub for centralized AI governance visibility
  • Microsoft Entra ID Privileged Identity Management (PIM) for AI admin roles
  • Microsoft Defender for Cloud Apps for SaaS AI tool discovery
  • Microsoft Purview Compliance Manager for governance posture tracking

EPC Group Standard Implementation

  • AI Center of Excellence charter (cross-functional governance body)
  • Written AI policy (8-12 pages typical)
  • Vendor approval process for Copilot Studio agents and AI SaaS
  • Quarterly AI risk review with executive readout
  • Annual external audit

Function 2: Map

Map requires:

  • Comprehensive AI use case inventory
  • Risk classification per use case (aligned to EU AI Act Article 6 categories where applicable)
  • Stakeholder identification per use case
  • Use case context documentation

Microsoft Platform Mapping

  • AI inventory dashboard in Microsoft Purview AI hub
  • Microsoft Defender for Cloud Apps for shadow AI discovery
  • Microsoft 365 Copilot usage analytics for in-platform AI inventory
  • Custom inventory framework for non-Microsoft AI

EPC Group Standard Inventory

For Fortune 500 organizations, AI inventory typically reveals:

  • Microsoft 365 Copilot deployment (per-user license assignment)
  • Copilot Studio agents (custom + citizen-developed)
  • Azure OpenAI Service workloads
  • Microsoft Foundry deployed models
  • Power Platform AI Builder usage
  • Third-party AI SaaS (typically 30-150 vendors discovered)
  • ML models deployed via Databricks Mosaic AI or AWS SageMaker

Function 3: Measure

Measure requires:

  • AI system testing for accuracy, robustness, bias
  • Validation across representative use cases
  • Adversarial testing
  • Documented evaluation methodology

Microsoft Platform Mapping

  • Microsoft Foundry evaluation harness for accuracy and bias testing
  • Microsoft Sentinel analytics rules for prompt-injection detection
  • Microsoft Defender for Cloud Apps for behavior anomaly detection
  • Microsoft Purview AI hub for sensitive-data-flow monitoring

EPC Group Standard Measurement

  • Quarterly accuracy benchmarking against representative user scenarios
  • Annual bias assessment per high-risk use case
  • Continuous adversarial testing via Microsoft Foundry
  • User-reported issue triage and root-cause analysis

Function 4: Manage

Manage requires:

  • Continuous monitoring of AI behavior
  • Incident response procedures
  • Risk register maintenance with periodic review
  • Stakeholder communication

Microsoft Platform Mapping

  • Microsoft Sentinel as primary AI incident response platform
  • Microsoft Purview AI hub for sensitive-data-flow visibility
  • Microsoft Defender for Cloud Apps for behavior analytics
  • Microsoft Communication Compliance for AI-generated content monitoring

EPC Group Standard Management

  • 24x7 Microsoft Sentinel monitoring (Mission-Critical tier)
  • Monthly AI risk register review with executive escalation for new high-risk findings
  • Quarterly stakeholder communication
  • Annual external audit

The 47-Subcategory Crosswalk

EPC Group maintains a written crosswalk mapping each of the 72 NIST AI RMF subcategories to specific Microsoft platform settings. Sample mappings:

  • GOVERN-1.1 (AI policy documented) → Microsoft Purview Compliance Manager AI policy template
  • GOVERN-2.1 (Cross-functional governance) → AI Center of Excellence charter + Microsoft Teams governance team
  • MAP-3.1 (AI inventory) → Microsoft Purview AI hub inventory dashboard
  • MEASURE-2.4 (Bias assessment) → Microsoft Foundry evaluation harness bias module
  • MANAGE-1.2 (Incident response) → Microsoft Sentinel playbooks + Microsoft Defender for Cloud Apps integration

The full crosswalk has 47 actionable subcategories with specific Microsoft platform configuration steps.

Frequently Asked Questions

What is NIST AI RMF?

NIST AI Risk Management Framework (AI RMF 1.0) is the US federal voluntary guidance for AI risk management. Four functions: Govern, Map, Measure, Manage. Increasingly required by federal contracts, state/local government, regulated commercial buyers, and CMMC-aligned defense contractors as the standard of care.

Is NIST AI RMF mandatory?

No — NIST AI RMF is voluntary federal guidance. However, it is increasingly written into federal contracts, state/local procurement requirements, and audit findings as the standard of care. Most regulated-industry organizations adopt NIST AI RMF as a baseline even without explicit contractual requirement.

How does NIST AI RMF differ from EU AI Act?

NIST AI RMF is voluntary US guidance. EU AI Act is mandatory EU regulation (enforcement begins August 2026). Both cover similar territory — risk classification, documentation, ongoing monitoring. EPC Group standard methodology maps NIST AI RMF subcategories to EU AI Act articles so most controls double-cover both frameworks.

What's the cost of NIST AI RMF implementation?

EPC Group fixed-fee NIST AI RMF implementation: $100K-$300K covering AI Center of Excellence charter, 47-subcategory crosswalk, Microsoft Purview AI hub configuration, Microsoft Sentinel analytics rule deployment, Microsoft Foundry evaluation harness setup, written governance documentation. Plus ongoing managed services $25K-$80K/month for vCAIO Fractional or Transformation tier.

How long does NIST AI RMF implementation take?

EPC Group standard timeline: 8-16 weeks for initial implementation. Discovery 2-3 weeks, governance design 2-3 weeks, Microsoft platform configuration 3-6 weeks, documentation 2-4 weeks. Ongoing management is continuous — quarterly governance review, annual external audit.

What's the role of vCAIO in NIST AI RMF?

vCAIO (Virtual Chief AI Officer) is the operational leader of NIST AI RMF implementation. The vCAIO chairs the AI Center of Excellence, owns the AI risk register, signs off on AI risk decisions, and represents the program to the board. EPC Group typical pattern: 6-18 month vCAIO engagement covering NIST AI RMF implementation plus ongoing operations.

How EPC Group Delivers NIST AI RMF Engagements

EPC Group's NIST AI RMF practice is anchored in Errin O'Connor's federal IT reform advisory work under former Federal CIO Vivek Kundra and former NASA CTO Chris Kemp. The 47-subcategory crosswalk between NIST AI RMF and Microsoft platform settings is the foundation of every engagement.

Every NIST AI RMF engagement we deliver includes AI Center of Excellence charter, NIST AI RMF subcategory crosswalk, Microsoft Purview AI hub configuration, Microsoft Sentinel analytics rule deployment, Microsoft Foundry evaluation harness setup, written governance documentation, and quarterly board readout templates.

Next Steps

Schedule a 30-minute discovery call at /schedule or call (888) 381-9725.

Related reading: AI Governance Framework Enterprise, EU AI Act Enterprise Compliance, and vCAIO Services.

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EO

Errin O'Connor

CEO & Chief AI Architect

Microsoft Press bestselling author with 29 years of enterprise consulting experience.

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