NIST AI RMF 1.0 · NIST AI 600-1

AI RMF Manager

Build, evidence, and defend an AI governance posture against the NIST AI Risk Management Framework — with the honesty to show exactly where you stand.

72 subcategory outcomes · 12 generative-AI risks · OSCAL-aligned reports

How it works · lifecycle

From scope to a defensible demonstration

01

Scope

Define a Profile and inventory each AI system — purpose, data, human oversight, impact tier.

02

Map

Map the framework subcategories to reusable Controls and attach Evidence that tracks its freshness.

03

Measure

Record TEVV metrics and seed the 12-category generative-AI risk register, per system.

04

Manage

Treat risks through the operations layer; scheduled checks flag what is slipping before it bites.

05

Demonstrate

Score readiness, clear the go/no-go gate, and freeze hash-stamped, OSCAL-aligned reports.

Capabilities

What is inside

01

AI System Inventory

Each system is a first-class record: purpose, data sources, human-oversight model, and impact tier.

02

Controls & Evidence

Reusable controls mapped to the framework, with evidence that tracks its own freshness.

03

GAI Risk Register

All 12 generative-AI risk categories, seeded per system, each carrying a treatment plan.

04

Metrics / TEVV

Structured measurement with an honesty guard — no named evaluation dataset, no green status.

05

Readiness & Reports

Two-lens scoring, a go/no-go gate, and immutable, OSCAL-aligned assessor packets.

06

Multi-tenant & secure

Strict per-tenant isolation, role-based access, multi-factor auth, and signed backups.

Design principle

Honest about where you stand

The AI RMF is voluntary — there is no certification to earn. So the tool is built to stay honest: a claim cannot read as Evidenced without fresh evidence behind it, a metric with no evaluation dataset cannot show green, and every score carries a watermark. An inflated posture is worse than an honest one when someone finally checks.

Contact

Talk it over

Working through AI risk and governance? Send a note — your questions, your feedback, or the problem you are trying to solve, and we will respond.