Framework

Operationalize Trustworthy AI With NIST AI RMF

The NIST AI Risk Management Framework helps organizations govern, map, measure, and manage AI risks to better respond to growing executive, customer, and regulatory expectations for trustworthy AI use.

Drata helps centralize evidence, operationalize controls, and document ongoing oversight so teams can strengthen AI governance, reduce manual coordination, and demonstrate trust as AI risk expectations mature.

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Establish AI Governance Foundations

Manage Risk Across AI Lifecycles

Improve Transparency and Accountability

Support Responsible AI at Scale

WHY DRATA

Discover the Drata Difference

Map AI Governance Requirements to Controls

Drata maps NIST AI RMF functions and outcomes to defined controls and evidence, giving teams a consistent starting point for AI governance.

Enterprises reduce manual setup and maintain alignment across models, teams, and reviews without relying on ad hoc documentation.

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Use AI to Surface Governance Gaps

Drata AI explains control test issues mapped to the NIST AI Risk Management Framework, including when AI risk controls behave unexpectedly.

Teams better understand what is occurring, why it matters for responsible AI governance, and what to review next when supporting leadership discussions or external risk oversight.

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Tie AI Risk to Ownership and Evidence

Drata links AI risks directly to controls, ownership, and evidence, giving enterprises visibility into how AI risk is managed over time.

As models evolve and use cases expand, governance alignment remains current without fragmented tracking.

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Scale Responsible AI Oversight Across Teams

Drata allows NIST AI RMF controls to scale across teams and additional frameworks, supporting responsible AI programs without duplicating governance structures.

Enterprises extend AI oversight as adoption grows while maintaining consistent accountability and documentation.

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