NIST AI RMF Compliance
Manage AI risks with the NIST AI Risk Management Framework
Evidr automates NIST AI RMF implementation with structured governance, risk mapping, and continuous monitoring. Build trustworthy AI systems with documented controls across the entire AI lifecycle.
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Four Core Functions for AI Risk Management
NIST AI RMF organizes risk management practices into four interconnected functions. Evidr provides structured workflows and documentation for each function, ensuring comprehensive AI governance.
Platform Capabilities
Everything you need for NIST AI RMF alignment
From AI system inventory to continuous monitoring, Evidr provides end-to-end support for responsible AI governance.
GOVERN Function
Establish AI governance structures, policies, and organizational culture. Define roles, responsibilities, and accountability for AI risk management across your organization.
MAP Function
Understand context and categorize AI system risks. Document AI system purposes, stakeholders, potential impacts, and risk tolerance levels before deployment.
MEASURE Function
Employ quantitative and qualitative methods to analyze AI risks. Assess AI system trustworthiness characteristics including accuracy, fairness, and explainability.
MANAGE Function
Allocate resources and implement plans to respond to AI risks. Prioritize risk treatment options and implement continuous monitoring and improvement processes.
Lifecycle Coverage
Apply risk management across the full AI lifecycle: design, development, deployment, operation, and decommissioning. Maintain documentation at every stage.
Documentation & Reporting
Generate comprehensive AI governance documentation including risk assessments, impact analyses, and audit trails for stakeholder and regulatory reporting.
AI Trustworthiness
Seven characteristics of trustworthy AI
NIST AI RMF defines key characteristics that contribute to AI system trustworthiness. Evidr helps you assess and document each characteristic for your AI systems.
Valid & Reliable
AI systems perform as intended under expected conditions
Safe
AI systems do not create unsafe conditions for people
Secure & Resilient
AI systems resist unauthorized access and recover from disruptions
Accountable & Transparent
AI system decisions can be explained and responsibility assigned
Explainable & Interpretable
AI system outputs can be understood by stakeholders
Privacy-Enhanced
AI systems protect individual privacy and data rights
Fair (Bias Managed)
AI systems minimize harmful bias and promote equitable outcomes
Why Automate
Manual vs. automated AI risk management
Your Path to Alignment
NIST AI RMF alignment in 12 weeks
Follow our proven process to establish responsible AI governance and risk management practices.
AI System Inventory
Catalog all AI systems in your organization. Document purposes, data sources, stakeholders, and deployment contexts for each system.
Week 1-2Governance Framework
Establish AI governance structures, policies, and accountability. Define roles for AI risk oversight and create decision-making processes.
Week 2-4Risk Mapping
For each AI system, identify and categorize risks across trustworthiness characteristics. Document potential impacts on individuals and communities.
Week 4-6Measurement & Assessment
Implement metrics and methods to assess AI risks. Conduct bias audits, accuracy testing, and impact assessments across system lifecycle.
Week 6-10Risk Treatment & Monitoring
Prioritize and address identified risks. Implement continuous monitoring, incident response procedures, and improvement processes.
Week 10-12FAQ
Frequently asked questions about NIST AI RMF
What is NIST AI RMF?
The NIST AI Risk Management Framework (AI RMF 1.0), published in January 2023, is a voluntary framework that helps organizations manage risks throughout the AI lifecycle. It provides guidance for incorporating trustworthiness considerations into AI system design, development, use, and evaluation. The framework is organized around four core functions: GOVERN, MAP, MEASURE, and MANAGE.
Who should use NIST AI RMF?
NIST AI RMF is designed for all organizations that design, develop, deploy, or use AI systems. This includes technology companies building AI products, enterprises deploying AI for business operations, healthcare and financial institutions using AI for decision-making, government agencies, and any organization seeking to establish responsible AI practices. The framework is flexible and can be tailored to organizations of any size.
Is NIST AI RMF mandatory?
NIST AI RMF is voluntary for private sector organizations. However, adoption is increasingly expected by customers, partners, and regulators. Federal agencies may be required to align with AI RMF under Executive Orders on AI governance. Organizations subject to the EU AI Act may find AI RMF helpful for demonstrating compliance with risk management requirements.
What are the four core functions?
The framework organizes AI risk management into four functions: GOVERN establishes organizational culture, structures, and processes for AI governance. MAP identifies context, stakeholders, and potential risks for each AI system. MEASURE employs methods and metrics to assess risks and trustworthiness. MANAGE prioritizes risks and implements treatment strategies. Each function contains categories and subcategories of recommended practices.
What are AI trustworthiness characteristics?
NIST AI RMF defines seven key characteristics of trustworthy AI: Valid & Reliable (performs as intended), Safe (does not create unsafe conditions), Secure & Resilient (resists attacks and recovers from failures), Accountable & Transparent (decisions can be explained and attributed), Explainable & Interpretable (outputs are understandable), Privacy-Enhanced (protects individual privacy), and Fair with Managed Bias (minimizes harmful discrimination).
How does NIST AI RMF relate to ISO 42001?
NIST AI RMF and ISO 42001 are complementary frameworks. ISO 42001 provides a formal AI management system standard with certification, while NIST AI RMF offers detailed risk management guidance. Organizations can use AI RMF practices to implement ISO 42001 requirements. Evidr supports both frameworks with shared controls and unified documentation.
How does NIST AI RMF relate to the EU AI Act?
NIST AI RMF provides risk management practices that align with EU AI Act requirements. While the EU AI Act is legally binding for AI systems in the EU market, AI RMF offers voluntary guidance applicable globally. Organizations using AI RMF will be better prepared for EU AI Act compliance, particularly for high-risk AI system requirements around risk assessment and documentation.
How long does NIST AI RMF implementation take?
With Evidr, most organizations can establish initial AI RMF alignment in 8-12 weeks. Timeline depends on the number of AI systems, organizational complexity, and existing governance structures. Unlike one-time certifications, AI RMF is an ongoing practice that improves continuously as your AI portfolio evolves.
Ready to implement responsible AI governance?
Schedule a demo with our team. We will walk you through AI system inventory, risk mapping, and continuous monitoring aligned with NIST AI RMF.