NIST AI RMF 1.0

The NIST AI Risk Management Framework (AI RMF 1.0) helps organizations identify, assess, and manage the risks associated with designing, developing, deploying, and operating AI systems. While the framework defines what trustworthy AI should look like, many organizations struggle to determine whether their governance, documentation, and operational controls actually meet its expectations.

Valystrum transforms the NIST AI RMF into a structured assessment that enables organizations to evaluate compliance, identify gaps, collect evidence, and continuously monitor AI governance across the entire AI lifecycle.

Know where you stand. Understand your risks. Demonstrate trustworthy AI.

The NIST AI RMF is a voluntary, risk-based framework developed by the National Institute of Standards and Technology to help organizations build trustworthy AI systems. Rather than prescribing specific technologies, it provides guidance for governing AI risks throughout the lifecycle.

The framework is built around four continuous functions:

Function Purpose

• GOVERN - Establish governance, policies, accountability, and oversight
• MAP Understand AI systems, context, stakeholders, and potential harms
• MEASURE Evaluate AI performance, fairness, privacy, security, robustness, and reliability
• MANAGE Monitor risks, implement mitigations, respond to incidents, and continuously improve

These functions work together to support responsible AI throughout development and operation.

Understanding the framework is only the first step.

Valystrum enables organizations to assess whether they actually comply with the NIST AI RMF by converting the framework into a practical assessment with structured controls, evidence collection, and gap analysis.

Our assessment includes:

• 37 assessment controls
• 114 structured assessment questions
• Evidence collection for every control
• AI governance maturity reporting
• Gap identification and remediation tracking
• Continuous compliance monitoring
• Executive dashboards and audit-ready reporting

Instead of manually interpreting the framework, organizations receive a clear view of their current AI governance posture and the actions required to improve it.

Our assessment evaluates whether your organization has implemented effective controls across the complete AI lifecycle.

Areas include:

AI Governance

• Governance policies
• Roles and responsibilities
• Executive oversight
• Risk management
• Third-party AI governance
• Human oversight
• AI incident response

AI Risk Identification

• Intended purpose
• Stakeholder impacts
• Data provenance
• AI architecture
• Risk characterization
• Deployment context

AI Assurance

• Model performance
• Robustness testing
• Fairness
• Privacy
• Security
• Explain ability
• Continuous monitoring
• Independent validation

AI Risk Management

• Risk prioritization
• Risk treatment
• Deployment approvals
• Residual risk
• Incident management
• Change management
• AI retirement

Generative AI

Where applicable, Valystrum also evaluates governance for:

• Large Language Models (LLMs)
• Prompt security
• Retrieval-Augmented Generation (RAG)
• Foundation model providers
• High-impact AI deployments

Every assessment produces actionable results, including:

• Overall compliance score
• Control-by-control assessment
• Evidence register
• Gap analysis
• Prioritized remediation roadmap
• Executive summary
• Audit-ready assessment report

This enables security, governance, risk, and compliance teams to demonstrate AI governance maturity to leadership, customers, and regulators.

We help you answer questions such as:

• Are we aligned with the NIST AI RMF?
• Which controls are missing?
• What evidence do we need?
• Where are our highest AI risks?
• Which improvements should we prioritize?
• Are we ready for customer or regulatory reviews?

Our platform measures your AI governance posture rather than treating compliance as a one-time exercise.

The assessment is designed for organizations that:

• Develop AI systems
• Deploy Generative AI
• Use third-party AI services
• Operate high-impact AI systems
• Need to demonstrate responsible AI practices
• Are preparing for ISO/IEC 42001 or AI regulatory requirements
• Want a structured AI governance program

See how your organization aligns with the NIST AI RMF.

Run a structured assessment, identify governance gaps, collect evidence, and receive a prioritized roadmap for improving trustworthy AI.

• 7 domains
• 37 controls
• 114 assessment question