Darktrace AI Maturity Model
Framework for assessing organisational AI security maturity.
What it does
Darktrace's framework for assessing organisational AI maturity from a cybersecurity perspective. Provides structured benchmarking of AI security posture across multiple dimensions.
Security relevance
Provides a structured way to benchmark AI security posture and identify maturity gaps. Useful for CISOs reporting to boards on AI readiness and for building improvement roadmaps with clear milestones.
When to use it
Use when you need to assess and communicate your organisation's AI security maturity level. Particularly valuable for board reporting and strategic planning. Complements the NIST AI RMF Maturity Model with a vendor perspective.
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: Darktrace AI Maturity Model slug: darktrace-ai-maturity-model type: Generative category: AI Governance & Standards url: https://darktrace.com/ai-maturity-model reviewed: 2026-04 added: 2026-04 updated: 2026-04 risks: llm: [] asi: [] complexity: Plug & Play pricing: — audience: Blue Team lifecycle: [govern] tags: [Darktrace, Framework, Maturity Model]