Risk Refine

Framework Overview

NIST AI RMF

AI risk management for trustworthy systems

The NIST AI Risk Management Framework helps organizations manage risks associated with AI systems across the lifecycle—govern, map, measure, and manage. It is increasingly referenced in procurement, regulation, and responsible AI programs.

Who it's for: Teams shipping AI features, using LLMs in production, or responding to customer and regulator questions about AI governance.

Voluntary but widely referencedLifecycle-oriented approachPairs with NIST CSF and ISO 42001Practical for product-led AI adoption

Key Domains

How NIST AI RMF breaks down across the program lifecycle.

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01

Govern

Establish AI governance structures, policies, roles, and accountability for AI risk across the organization.

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02

Map

Contextualize AI systems, identify stakeholders, and map risks and benefits across the AI lifecycle.

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03

Measure

Define metrics, testing, and evaluation approaches for model performance, bias, safety, and reliability.

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04

Manage

Prioritize and respond to identified risks—mitigation, monitoring, incident response, and decommissioning.

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05

Documentation

Maintain model cards, use-case inventories, and evidence that supports customer and auditor inquiries.

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06

Integration with GRC

Align AI governance with existing security, privacy, and compliance programs rather than a siloed initiative.

Program Snapshot

A visual overview of how we typically structure a NIST AI RMF engagement—from discovery through audit-ready operations.

1
Govern
2
Map
3
Measure
4
Manage
5
Documentation
6
Integration with GRC

How We Help

  • Gap assessment against framework requirements
  • Prioritized roadmap with clear owners and timelines
  • Policy, control, and evidence design
  • GRC automation setup (Drata / Vanta)
  • Mock audit and auditor liaison support

FAQs

Is NIST AI RMF mandatory?

It is voluntary in the US, but customers, partners, and emerging regulations increasingly expect structured AI risk management aligned to NIST guidance.

We only use third-party APIs—do we still need this?

Yes. You remain responsible for how AI is used in your product—vendor due diligence, data handling, monitoring, and user-facing risk disclosures still apply.

How does this relate to ISO 42001?

ISO 42001 is a certifiable AI management system standard. NIST AI RMF provides flexible functions and categories that map well to ISO 42001 control themes.

Ready To Talk?

Book a free scoping call—we'll map your compliance goals, recommend the right engagement tier, and outline a clear path forward.