NIST AI Risk Management Framework (AI RMF)

LOCATION

United States

industry

Requirements

Achieve Compliance Confidence

Understanding NIST AI RMF: Trustworthy & Responsible AI Risk Management

The NIST AI Risk Management Framework provides a flexible, non-prescriptive foundation for managing risks related to artificial intelligence. It emphasizes trustworthiness, including characteristics like fairness, robustness, transparency, and accountability.

The AI RMF is structured around four core functions—Govern, Map, Measure, and Manage—that support continuous, iterative risk management across the AI lifecycle. Whether building or using AI, organizations must understand model limitations, evaluate harms, and implement safeguards against bias, drift, and unintended consequences.

Forgepath helps teams embed AI RMF into their workflows by building governance models, supporting risk assessments, and developing secure, resilient AI programs that meet regulatory expectations and public trust benchmarks.

Get The Facts

NIST AI RMF At a Glance

The NIST AI Risk Management Framework (AI RMF 1.0) helps organizations design, develop, and deploy trustworthy AI systems through a structured, risk-based approach.

Requirements

Govern

Establish the organizational policies, procedures, and practices to foster a culture of AI risk management, including roles, accountability, and documentation.

Map

Understand and document the AI system’s intended purpose, context, capabilities, limitations, and potential impacts across the lifecycle.

Measure

Assess the functionality and trustworthiness of the AI system using qualitative and quantitative methods for bias, robustness, performance, and explainability.

Manage

Implement risk mitigation strategies and continuously monitor, update, or adapt the system in response to evolving threats and performance indicators.

How Forge Path Can Help

Virtual Artificial Intelligence Officer (vCAIO)

Get executive-level guidance on integrating AI RMF into broader cybersecurity, privacy, and compliance programs.

Explore Service

AI Bias & Trust Assessments

Conduct model audits and stress testing for fairness, robustness, and transparency using the Measure function’s guidance.

Explore Service

Cloud Systems & Security Manager

Zero.health

Proven Track Record

Forgepath delivered outstanding service on our network and app security tests.
View Full Testimonial

Cloud Systems & Security Manager
Zero.health

Forgepath delivered outstanding service on both our network penetration test and application security assessment.

When a critical customer need arose, they quickly adjusted their schedule to meet our urgent timeline without compromising quality.

Their technical expertise, clear guidance, and hands-on remediation support helped us meet our EOY goals efficiently.

We were especially impressed by their flexibility, responsiveness, and professionalism throughout the process.

Chief Executive Officer

parsysco.com

Proven Track Record

Forgepath separates themselves from the rest as they’re a true security partner.
View Full Testimonial

Chief Executive Officer
parsysco.com

Forgepath separates themselves from the rest as they’re a true security partner to Parsysco. They took the time to understand our requirements and how things were working with our previous provider.

We were impressed by how quickly they formulated a new strategy and approach. They helped us identify our challenges and consistently brought forward solutions that were in Parsysco’s best interest.

Most vendors only care about selling something, Forgepath took the personal relationship and partnership approach that we value greatly.

Ready to Get Started?

Operationalize AI Risk Management with Forgepath

Build AI systems that are ethical, explainable, and resilient. Forgepath helps you align with NIST AI RMF across governance, development, and post-deployment management.

Talk to an Expert

FAQ

Have Questions About NIST AI RMF?

A voluntary framework designed to help organizations manage risks related to the design, development, deployment, and use of AI systems.

No. It’s a voluntary framework, but it’s increasingly used by U.S. agencies, contractors, and enterprises to guide responsible AI practices.

While the AI RMF is non-regulatory, it complements global standards and can help organizations prepare for more prescriptive frameworks like the EU AI Act.

Developers, data scientists, product owners, compliance teams, and executives involved in creating, deploying, or overseeing AI systems.

Begin with a governance assessment and mapping exercise to understand system scope, risks, and current safeguards—Forgepath can lead the way.