AI Governance · Risk Management
AI Risk Register
Likelihood x impact, named owners, and NIST AI RMF mapping — not a spreadsheet nobody opens again.
"We're aware of the risks" is not a risk register. Awareness isn't management. A real register names each risk, scores it, assigns someone to own it, and sets the point where it escalates.
The 5x5 grid
Every risk is scored on two axes — likelihood (1-5) and impact (1-5) — multiplied for a severity score, visualised as a colour-coded heat map. That's what lets you rank risks against each other instead of treating everything as equally urgent.
Mapped to NIST AI RMF
- GovernPolicies and oversight structure.
- MapWhere AI risk actually lives in the organisation.
- MeasureThe likelihood x impact scoring.
- ManageMitigation and ongoing monitoring.
Get a free sample AI risk register — no cost, just your email.
Email me the free sampleOr go straight to the full register — $29, one-time.
Frequently asked
- What is an AI risk register?
- A structured document that names specific AI risks, scores each on likelihood and impact, assigns a named owner and escalation threshold, and lists concrete mitigation actions — as opposed to a general statement of risk awareness.
- How is AI risk scored on a risk register?
- Commonly on a 5x5 matrix: likelihood rated 1-5 and impact rated 1-5, multiplied for a severity score, visualised as a colour-coded heat map to rank risks against each other.
- How does an AI risk register map to NIST AI RMF?
- Against the framework's four functions: Govern (policies and oversight), Map (identifying where AI risk exists), Measure (scoring, e.g. the 5x5 matrix), and Manage (mitigation and ongoing monitoring).
This page and the linked tool produce first-draft, AI-generated documents — not legal advice. Qualified review is required before you rely on any output.
Sources: NIST AI Risk Management Framework · ISO/IEC 42001:2023 · Responsible AI Studio .