NIST AI RMF Alignment
Discovery-only reference page for NIST AI RMF context around MPLP. Detailed mapping material, where published, lives in Documentation and related authority surfaces.
Usage Boundary
This page presents an informative reference mapping between MPLP protocol modules and the NIST AI Risk Management Framework (AI RMF).It does not assert conformity or official regulatory attestation.
MPLP provides structural governance primitives that organizations may use as part of their internal risk management practices. All risk determinations, controls, and disclosures remain the responsibility of the adopting organization.
Use this page for orientation only. Documentation and Repository surfaces carry the authoritative documentation chain; Validation Lab carries adjudication-facing public views.
Important Disclaimer
This document is NOT an official attestation or validation by NIST.
- MPLP is not reviewed or validated by the National Institute of Standards and Technology (NIST).
- This alignment mapping is provided for informational purposes only.
- Organizations implementing the AI RMF should conduct their own assessment of applicable controls.
- Use of MPLP does not guarantee or imply alignment with NIST AI RMF.
The mapping below illustrates how MPLP protocol mechanisms may support organizations in addressing certain AI RMF functions. It is the responsibility of each organization to assess applicability to their specific context.
Framework Overview
NIST AI RMF: Four Core Functions
The AI Risk Management Framework defines four high-level functions for managing AI risks.
GOVERN
Cultivate a culture of risk management; establish governance structures.
MAP
Context and scope; understand risks in system design.
MEASURE
Assess, analyze, and track AI risks and impacts.
MANAGE
Allocate resources; prioritize and respond to risks.
Reference Mapping
AI RMF Functions → MPLP Modules
Illustrative mapping between framework functions and protocol mechanisms. This is not an exhaustive mapping.
| AI RMF Function | Key Objectives | MPLP Modules & Mechanisms |
|---|---|---|
| GOVERN | Policies, accountability, organizational culture | Role Module (authority boundaries), Context Module (governance constraints), governance records |
| MAP | System context, stakeholders, risk identification | Context Module (scope definition), Plan Module (intent declaration), Role + Context constraints |
| MEASURE | Testing, evaluation, metrics, monitoring | Trace Module (observable events), Golden Flows (reference test suites), Structured audit trails |
| MANAGE | Risk response, mitigation, continuous improvement | Confirm Module (authorization gates), Evidence Chain (accountability), Version governance |
For authoritative information on the NIST AI Risk Management Framework, refer to the official NIST publication.