NIST AI RMF Maturity Assessment
The NIST AI Risk Management Framework organizes AI governance into four core functions: it answers whether AI risk is governed, whether you know where AI is used, whether those risks are measured, and whether they're actively managed.
Most organizations are deploying AI faster than they're governing it. Rate your maturity across all four functions below and get an AI-built roadmap in minutes.
⏳ Takes about 2 minutes | Most organizations score below Tier 2 on their first assessment
1. Govern
Establish a culture of AI risk management with clear policies, accountability, and oversight.
2. Map
Identify where AI is used across the organization and the context and risks each use case creates.
3. Measure
Analyze and track AI risks using appropriate methods, metrics, and testing.
4. Manage
Prioritize and act on AI risks based on their potential impact, with ongoing monitoring.
Rate Your AI Risk Maturity (1–4)
1=Partial | 2=Risk Informed | 3=Repeatable | 4=Adaptive
AI risk governance policies, accountability, roles, and trustworthy AI culture.
AI context categorization, risk identification, impact and stakeholder analysis.
Risk analysis, assessment methodologies, benchmarking, and AI system evaluation.
Risk prioritization, response planning, ongoing monitoring, and incident recovery.
Overall Maturity: Tier 1 — Partial
Most organizations are at Tier 1–2 on initial AI RMF assessment.
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Analyzing your AI risk posture and
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