NIST AI RMF Maturity Model
Framework for assessing AI risk maturity based on NIST standards.
What it does
A framework for assessing organisational maturity in AI risk management, based on NIST's AI Risk Management Framework. Provides a structured approach to measuring and improving AI governance capabilities across multiple dimensions.
Security relevance
Maps AI risk management capabilities to maturity levels, helping organisations understand where they stand and what to prioritise. Useful for building a roadmap from ad-hoc AI usage to structured AI governance, with clear milestones along the way.
When to use it
Use when building an AI governance roadmap or assessing current maturity for leadership reporting. Requires mapping to your organisation's specific processes and capabilities — not just reading the framework but applying it to your context.
OWASP coverage
Risks addressed — mapped to both OWASP Top 10 standards. 0 in LLM, 0 in Agentic.
The raw record
What Yuntona stores. Single source of truth — fork it on GitHub.
name: NIST AI RMF Maturity Model slug: nist-ai-rmf-maturity-model type: Generative category: AI Governance & Standards url: https://arxiv.org/abs/2401.15229 reviewed: 2026-04 added: 2026-04 updated: 2026-04 risks: llm: [] asi: [] complexity: Guided Setup pricing: — audience: Blue Team lifecycle: [govern] tags: [Framework, NIST, Risk]