Build an editable responsible-AI risk register for your AI/LLM use-cases. Score each risk by Likelihood × Impact (1–5) with automatic Low/Med/High/Critical bands, load a starter library of 14 common AI risks, capture existing and additional controls with residual risk, and export a register mapped to NIST AI RMF and ISO/IEC 23894. Word + CSV.
Rate Likelihood (1 = rare, 5 = almost certain) and Impact (1 = negligible, 5 = severe) for each AI risk. The score = Likelihood × Impact (1–25) maps to a band: Low 1–4, Medium 5–9, High 10–14, Critical 15–25. Capture existing controls, then re-score residual risk after planned additional controls.
Click a card to add it to your register, or load them all.
No risks yet — add a blank risk or load the starter library above.
⚠️ This tool is a self-assessment aid based on the NIST AI Risk Management Framework (AI RMF 1.0 — Govern, Map, Measure, Manage) and ISO/IEC 23894:2023 (AI risk management guidance). The risk dimensions and starter library are representative summaries to help you structure an AI risk register — they are not the full normative text of either document, not legal or compliance advice, and not a certification or conformity assessment. Tailor risks and controls to your context, and consult the source frameworks (and qualified counsel where regulations such as the EU AI Act apply) for authoritative requirements.