NIST AI Risk Management Framework
A voluntary framework for managing AI risks, developed by the National Institute of Standards and Technology. Increasingly referenced in US federal procurement and private-sector governance.
Overview
The NIST AI Risk Management Framework (AI RMF 1.0) provides a structured approach to identifying, assessing, and managing risks associated with AI systems throughout their lifecycle. Released in January 2023, it is organized around four core functions: Govern, Map, Measure, and Manage. While voluntary, the framework is becoming a de facto standard for AI risk management in the US. It is referenced in Executive Order 14110 on AI safety and is increasingly expected in federal contracting and regulated industries.
Key Requirements
The core elements your organization needs to address.
Govern
Establish organizational policies, processes, and structures for AI risk management. This includes defining roles and responsibilities, setting risk tolerances, creating accountability mechanisms, and fostering a culture of responsible AI development. Governance should be integrated with existing enterprise risk management.
Map
Identify and catalog AI risks in context. This involves understanding the AI system's purpose, stakeholders, and operating environment. Map potential impacts across technical, social, and organizational dimensions. Document interdependencies and establish the risk landscape for each AI system.
Measure
Quantify and track AI risks using appropriate metrics and methodologies. Implement testing, evaluation, verification, and validation (TEVV) throughout the AI lifecycle. Measure performance against trustworthy AI characteristics including validity, reliability, safety, fairness, privacy, transparency, and accountability.
Manage
Prioritize and act on identified risks based on assessment outcomes. Implement controls, develop response plans, allocate resources for risk treatment, and continuously monitor the effectiveness of risk management actions. Establish processes for escalation, incident response, and system decommissioning.
AI Risk Profiles
Develop risk profiles for each AI system that document the system's context, identified risks, risk levels, and planned treatments. Risk profiles should be living documents updated as systems evolve, new risks emerge, or operating conditions change.
Trustworthy AI Characteristics
Evaluate AI systems against NIST's seven characteristics of trustworthy AI: valid and reliable, safe, secure and resilient, accountable and transparent, explainable and interpretable, privacy-enhanced, and fair with harmful bias managed. These characteristics guide risk identification and measurement.
How BeyondScale Helps
Our approach to getting your organization compliant.
Framework Implementation
We help your organization adopt the NIST AI RMF by mapping the four core functions to your existing processes. We identify what you already have in place, what gaps exist, and build a practical implementation roadmap that integrates with your current governance structure.
Risk Profile Development
We work with your technical teams to develop comprehensive risk profiles for each AI system. This includes context documentation, risk identification workshops, impact analysis, and the creation of structured risk registers aligned with the framework's taxonomy.
Control Mapping
We map your existing security and risk controls to the NIST AI RMF's requirements, identifying where current controls satisfy framework expectations and where additional controls are needed. This is particularly valuable for organizations already using NIST CSF or NIST 800-53.
Integration with Existing Risk Management
We help integrate AI risk management into your existing enterprise risk management program. This ensures AI risks are evaluated alongside other organizational risks and that AI governance connects with your broader compliance and audit functions.
AI Compliance Framework Guide
A practical reference covering EU AI Act, NIST AI RMF, ISO 42001, and OWASP LLM Top 10. How they relate to each other and which ones apply to your organization.
We will send it to your inbox. No spam.
Who This Applies To
- US federal agencies and government contractors using AI
- Companies responding to AI-related procurement requirements
- Organizations seeking a structured approach to AI governance
- Companies in regulated industries looking for recognized AI risk frameworks
- Organizations already aligned with NIST Cybersecurity Framework or 800-53
Frequently Asked Questions
Related Frameworks
EU AI Act
The world's first comprehensive AI regulation. Mandatory for any organization deploying AI systems that affect people in the EU.
ISO 42001
The international standard for AI management systems. Provides a certifiable framework for organizations that develop, provide, or use AI responsibly.
OWASP LLM Top 10
The definitive list of critical security risks in LLM-based applications. A practical guide for developers and security teams building with large language models.
Related Resources
Get Compliance-Ready
Whether you need a gap analysis, implementation support, or certification readiness, our team can help you meet NIST AI RMF requirements on a timeline that works for your organization.
Book Assessment