AI Facts: NIST AI RMF Checklist
Document safeguards, evidence notes, and gaps using 40 core checks and six optional agent checks mapped to NIST AI RMF 1.0. Generate an assessment report and AI Facts label.
Start an AI RMF reviewFree Decision Terrain tools
Use a checklist to record evidence and gaps, or a worksheet to frame your next AI decision. Each tool runs in your browser.
Evidence-led review
These are independent interpretations or adaptations of public framework material. Their mappings help you find the source. Answers are self-reported and do not certify a system or verify its evidence.
Document safeguards, evidence notes, and gaps using 40 core checks and six optional agent checks mapped to NIST AI RMF 1.0. Generate an assessment report and AI Facts label.
Start an AI RMF reviewReview one generative AI use through 24 selected checks mapped to suggested actions in NIST AI 600-1. Save a browser draft, print a review, or export a JSON backup.
Start a generative AI reviewTurn the OWASP Top 10 for LLM Applications 2026 into 30 evidence-oriented checks covering model inputs, data, tools, dependencies, retrieval, resources, and output sinks.
Start an LLM security reviewPlanning and evaluation
Use these short worksheets to define an opportunity, compare options, or plan a test. They run in the browser and do not save entries.
Review mission ownership, data, integration, governance, evaluation, and adoption before planning a focused test.
Compare two technologies against weighted mission, technical, security, lifecycle, and evidence criteria.
Turn one uncertainty into a bounded test plan with measures, failure conditions, and a decision gate.
More context
Read the companion guides and technical resources for AI implementation and evaluation.