NIST AI RMF & GenAI Profile

Operationalize AI risk management for agentic AI.

The NIST AI Risk Management Framework is voluntary and helps organizations build trustworthiness into AI. Use this mapping to apply its functions to AI agents.

Why this matters

NIST describes the AI RMF as a voluntary framework to help organizations incorporate trustworthiness into AI design, development, use, and evaluation. NIST also released a Generative AI Profile to identify GenAI risks and actions.

Agentic AI raises the stakes: agents can take actions, call tools, and reach external systems.

Bakara helps you apply the framework's functions to real agent capabilities — with a risk register, capability map, and review workflow.

Mapping

Apply the four functions to AI agents.

The AI RMF is voluntary. Bakara does not certify NIST AI RMF conformance — it helps operate the controls and evidence.

AI RMF function

Govern

What Bakara helps with

Owners, policies, approvals, and review workflow for each AI agent and loadout.

AI RMF function

Map

What Bakara helps with

An inventory of AI agents and the skills, tools, and permissions they can use.

AI RMF function

Measure

What Bakara helps with

Usage signals, drift detection, and risk scoring for agent capabilities.

AI RMF function

Manage

What Bakara helps with

Restrictions, exceptions, and incident records for risky AI behavior.

How Bakara helps

From policy to governed loadouts.

Skill registry

A live inventory of AI skills, tools, prompts, workflows, connectors, permissions, and owners.

Role-based loadouts

Define what each role, team, or AI agent is allowed to access and do.

Monitoring & drift

See usage, detect drift from policy, and flag capabilities that need review.

Audit evidence

Export evidence of approved skills, access decisions, exceptions, and reviews.

Bring agentic AI into your risk program.

Bakara helps security teams map, measure, and manage what AI agents can do — and govern it over time.

Bakara supports AI governance, security operations, and audit-readiness workflows. Regulatory obligations vary by organization, jurisdiction, use case, and implementation. This material is not legal advice.