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AI Governance

NIST AI RMF

NIST Artificial Intelligence Risk Management Framework

Voluntary framework for managing risks associated with AI systems throughout their lifecycle.

What is NIST AI RMF?

The NIST AI Risk Management Framework (AI RMF 1.0), released in January 2023, provides organizations with a structured approach to managing AI risks. It is designed to be flexible, rights-preserving, and applicable across sectors.

The framework is organized around four core functions: Govern (establishing AI risk management culture), Map (understanding context and risks), Measure (analyzing and tracking risks), and Manage (prioritizing and acting on risks). Each function contains categories and subcategories with specific outcomes.

The AI RMF emphasizes trustworthy AI characteristics including validity, reliability, safety, security, resilience, accountability, transparency, explainability, interpretability, privacy, and fairness. It provides a common language for AI risk management across organizations.

Who Needs NIST AI RMF?

  • Organizations developing or deploying AI systems
  • Financial services using AI for decisions
  • Healthcare organizations with AI diagnostics
  • Government agencies implementing AI
  • Any company seeking responsible AI practices

Key Requirements

Core compliance areas for NIST AI RMF

1

Govern

Establish policies, processes, and accountability structures for AI risk management

2

Map

Identify and document AI system context, capabilities, and potential impacts

3

Measure

Assess and analyze AI risks using appropriate metrics and methodologies

4

Manage

Prioritize and implement risk treatments, and monitor effectiveness

Benefits of NIST AI RMF Compliance

  • Proactive identification of AI-related risks
  • Alignment with emerging AI regulations
  • Enhanced stakeholder trust in AI systems
  • Structured approach to responsible AI
  • Preparation for EU AI Act and other requirements

How PartnerAlly Helps with NIST AI RMF

Streamline your path to NIST AI RMF compliance with our AI-powered platform.

AI system inventory and risk classification
Trustworthiness characteristic assessments
Bias and fairness testing workflows
AI governance documentation templates
Continuous monitoring of AI system performance