Framework reference / AI risk and trustworthiness

NIST AI Risk Management Framework 1.0

The AI RMF is voluntary guidance for incorporating trustworthiness considerations into the design, development, deployment, use, and evaluation of AI systems.

Scope

It treats AI risk as a lifecycle and organizational concern. The Playbook and profiles can help teams translate the framework into practices suited to a particular use case and risk context.

NIST is revising AI RMF 1.0. ShadowCore should track the official revision and relevant profiles rather than treating version 1.0 as static.

Core structure

01

Govern

Create policies, accountability, culture, competence, and oversight across the AI lifecycle.

02

Map

Establish context, intended purpose, affected parties, dependencies, impacts, and risk tolerance.

03

Measure

Assess, test, monitor, document, and compare trustworthy-AI characteristics and risks.

04

Manage

Prioritize, respond to, monitor, and communicate AI risks and treatment decisions.

Operational evidence examples

AI system and use-case inventory with accountable owners
Impact and risk assessments tied to deployment context
Evaluation results, limitations, monitoring thresholds, and drift records
Human-oversight decisions, exceptions, incidents, and rollback records
Model, data, vendor, and material-change documentation

How ShadowCore uses this reference

Define agent roles, permissions, approval tiers, and prohibited actions
Log model calls, tool use, policy decisions, and human interventions
Require review gates for higher-impact actions
Support rollback, incident reconstruction, and continuing evaluation

Boundaries and claims

A design mapping is not proof that every AI RMF outcome has been achieved.

Trustworthiness depends on the specific system, people, data, deployment context, and ongoing measurement.

Official source: NIST AI Risk Management Framework
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Public reference material for product design and readiness planning. It is not legal advice, certification, or an independent assessment.