What Is the NIST AI Risk Assessment Framework? A Complete Overview

The **NIST AI Risk Management Framework (AI RMF 1.0)**, published by the National Institute of Standards and Technology in January 2023, is a voluntary framework designed to help organizations manage risks associated with AI systems throughout their lifecycle. Unlike regulations that tell you what you *must* do, the AI RMF tells you what you *should* do — and doing it creates a legal shield. Under Colorado SB 24-205, businesses that demonstrate alignment with the NIST AI RMF qualify for a **rebuttable presumption of compliance** (affirmative defense). That makes it the single most important framework for any Colorado business using AI.

Related: NIST AI RMF mapping to SB 24-205 · the 4 core functions · all aspects covered by the framework

Colorado SB 24-205 Section 6-1-1705 explicitly names the NIST AI RMF as a qualifying framework for affirmative defense. Here's what that means in practice: **Without NIST AI RMF alignment:** - You're liable for any algorithmic discrimination your AI produces - The burden of proof is on you to demonstrate compliance - No legal presumption in your favor **With documented NIST AI RMF alignment:** - You gain a rebuttable presumption of reasonable care - The AG must prove you didn't follow the framework - Your evidence trail becomes your legal shield This single distinction can mean the difference between a $20,000+ penalty and a successful defense. The framework is free. The compliance gap is what costs you.

The AI RMF is organized around **4 core functions** — Govern, Map, Measure, and Manage. Each function contains categories and subcategories that form a comprehensive AI governance program: **1. GOVERN — Establish AI Governance Structure** Set organizational policies, roles, and accountability for AI risk. This is the foundation — without governance, the other three functions have no authority. - Policies and procedures for AI risk management - Roles and responsibilities (who owns AI risk?) - Organizational culture around responsible AI - Legal and regulatory compliance processes **2. MAP — Contextualize AI Risks** Identify and categorize AI systems, their intended uses, affected stakeholders, and risk contexts. This is where you inventory what AI you have and who it affects. - AI system inventory and classification - Intended use vs. foreseeable misuse - Stakeholder identification (who's impacted?) - Risk context (what happens when it goes wrong?) **3. MEASURE — Quantify and Track AI Risks** Develop metrics, conduct testing, and monitor AI systems for bias, performance degradation, and unintended harm. This is where bias audits live. - Bias testing across protected classes - Performance metrics and benchmarks - Ongoing monitoring for drift - Third-party validation and testing **4. MANAGE — Treat and Monitor AI Risks** Allocate resources to mitigate identified risks, implement controls, and maintain documentation for accountability. This is where remediation happens. - Risk mitigation strategies and controls - Incident response procedures - Documentation and evidence retention - Continuous improvement cycles

Every SB 24-205 requirement maps to one or more AI RMF functions: **SB 24-205 Requirement → AI RMF Function:** - AI risk management policy → GOVERN - AI system inventory → MAP - Bias audits → MEASURE - Consumer disclosures → MAP + GOVERN - AG notification procedures → MANAGE - Impact assessments → MAP + MEASURE - Remediation documentation → MANAGE - 3-year record retention → GOVERN + MANAGE CO-AIMS automatically maps your compliance activities to the appropriate AI RMF functions, so when you generate an evidence bundle, it shows both SB 24-205 compliance *and* NIST AI RMF alignment — dual-purpose documentation that maximizes your legal protection.

Two frameworks dominate AI governance: NIST AI RMF and ISO 42001. Here's how they compare: **NIST AI RMF:** - Free and publicly available - Voluntary (no certification) - U.S.-focused, Colorado law explicitly references it - Flexible — adapt to your organization's needs - Best for: Colorado compliance, affirmative defense **ISO 42001:** - Requires paid certification audit - International recognition - More prescriptive (management system standard) - Best for: Enterprise companies with global operations For most Colorado businesses, NIST AI RMF is the clear choice — it's free, it's what the law references, and it provides the legal defense. ISO 42001 is additive, not a replacement.

You don't need to implement the entire AI RMF on day one. Start with the highest-impact activities: **Week 1:** Establish governance (GOVERN) — assign an AI risk owner, draft a basic AI policy **Week 2:** Inventory AI systems (MAP) — document every AI making consequential decisions **Week 3:** Run initial bias audits (MEASURE) — test highest-risk systems first **Week 4:** Set up monitoring and incident response (MANAGE) — document procedures CO-AIMS accelerates this from weeks to days. The platform walks you through each AI RMF function, auto-generates required documentation, and produces evidence bundles that demonstrate framework alignment. Plans start at $199/month with a free 14-day trial.