NIST AI RMF management software

Operationalize the NIST AI RMF

Connect AI governance and compliance activities with the Govern, Map, Measure, and Manage approach to AI risk management.

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RMF Functions
Controls
Evidence
Risks & Gaps
Actions
Reporting

Tracker AI helps teams capture decisions, summarize risk evidence, and keep Govern, Map, Measure, and Manage work connected as systems and use cases evolve.

From framework to operating model

Make NIST AI RMF part of how the business works

Turn the NIST AI RMF into an accountable operating model for understanding, measuring, and managing AI risks across the organization.

Structure activities around Govern, Map, Measure, and Manage
Connect AI systems and use cases to risks and accountable owners
Link risk treatment to policies, controls, evidence, and actions
Reuse governance work across ISO 42001 and the EU AI Act

Make risk decisions auditable

Keep RMF decisions connected to evidence and accountability

The NIST AI RMF is most useful when teams can trace how governance decisions were made, what evidence supported those decisions, and which actions were taken afterward. Capturing that context reduces ambiguity when risks change or stakeholders ask for justification.

Essential Compliance links decisions, controls, and evidence directly to each AI system and use case so the RMF remains a living operating model rather than a one-time assessment document.

AI risk reference

Explore the AI risk database

Browse practical AI risk scenarios, controls, and mitigation patterns you can adapt when implementing NIST AI RMF activities.

Browse the AI risk database

Program structure

Run the four RMF functions as one coordinated program

Keep each RMF function actionable by linking owners, artifacts, controls, evidence, and remediation in one place rather than splitting the work across disconnected spreadsheets and policy files.

Govern
Define AI governance expectations, accountability, and oversight so risk decisions are documented and repeatable.
Map
Maintain context for each AI system, including use case, stakeholders, impacts, and business dependencies.
Measure
Assess risk signals, control performance, and evidence quality to understand confidence and residual exposure.
Manage
Prioritize treatment actions, monitor changes over time, and adapt controls as systems and regulations evolve.

Inside Essential Compliance

One connected workflow for NIST AI RMF execution

Manage each RMF function with clear ownership and traceability across requirements, controls, evidence, and treatment actions.

Structure Govern, Map, Measure, and Manage activities

Create an RMF-aligned register of activities and outcomes, assign accountable owners, and maintain links to policies, controls, risks, and decisions for each AI system.

Connect AI systems, risks, and controls

Map AI systems and use cases to relevant risks and the controls intended to manage them. Keep a shared view of where risk treatment is strong, partial, or missing.

Measure control performance with current evidence

Schedule evidence collection and reviews, monitor stale or missing artifacts, and preserve a time-based trail that supports RMF measurement and ongoing assurance.

Manage residual risk and treatment actions

Track inherent and residual risk, prioritize treatment plans, and monitor open actions in Essential ERM so RMF execution stays aligned with business impact.