AI Security Maturity Model
A practical, standards-aligned security maturity model to assess your AI security program across 28 categories and 6 NIST CSF 2.0 domains.
Ready to assess your organization?
ASMM helps me surface where our traditional security program simply doesn’t see agentic AI risk yet. It shows exactly which domains we need to strengthen first, while keeping that uplift aligned to emerging industry requirements and frameworks like NIST CSF 2.0, NIST AI RMF, AI‑CAIQ, and the EU AI Act.Justus Post CISSP, CCSP
Traditional security programs weren’t built for systems that:
Act autonomously across workflows
Use non-human identities at scale
Execute real-world actions without constant human oversight
Are vulnerable to prompt injection, memory poisoning, and tool misuse
Introducing the AI Security Maturity Model (ASMM)
A structured framework designed specifically for security teams, helping to assess, benchmark, and improve your enterprise AI security posture. So security, engineering, and product teams can mature AI security programs while reducing unmanaged risk across AI and agentic systems.
With ASMM, you can:
Who This Is For
Built for leaders responsible for AI risk. Applicable across regulated and unregulated industries, from early-stage AI adoption to mature, enterprise-grade AI security programs.
Standards Alignment
The ASMM maps to the frameworks your security team is familiar with:
- NIST Cybersecurity Framework 2.0
- NIST AI Risk Management Framework 1.0
- CSA AI Controls Matrix
- EU AI Act
- OWASP Top 10 for Agentic Applications (2026)
Why Trent AI
Built by the team at Trent AI, with an operator-driven perspective, grounded in both industry and academic leadership. This positions Trent AI with the authority to define a maturity model based on the realities of securing AI systems across the adoption spectrum, including production-grade autonomous agents.
Active In The Security Community & Proud Members
Don’t wait for an incident to reveal your gaps.
The ASMM gives security leaders a structured way to assess program maturity across six domains and honest language to use with engineering, product, and the board.
Each request is reviewed before delivery. No auto-sends.
Frequently asked questions
What is an AI security maturity model?
A structured way to measure the maturity of your organization’s security program for AI systems, including agentic AI systems. Agents that reason autonomously, execute real-world actions, and operate without human approval at each step. The ASMM scores your security program maturity across six domains so you know where you stand and what to fix first. It assesses the program (policies, governance, processes), not the technical posture of individual AI systems.
How is the ASMM different from other AI security frameworks?
The ASMM is designed to assess the organization’s security program, for its ability to govern, protect, detect, respond to, and recover from risks across AI adoption, development, integration, and operation, including agentic AI systems that reason, act, and operate with autonomy. It also assesses the security program (policies, governance, processes), not the technical posture of individual systems.
How is the ASMM different from NIST AI RMF or ISO 42001?
NIST AI RMF provides governance principles. ISO 42001 is a certifiable management system standard. The ASMM is an assessment tool. It gives you a number across 28 categories so you can track improvement over time. It helps organizations assess their maturity in alignment to these frameworks.
Does the ASMM apply to all AI systems or only agentic ones?
It applies to AI systems in scope, then uses the Autonomy Test to determine which systems qualify as agentic for agentic-specific control depth. The framework is designed for assessing and improving the security maturity of organizations developing or operating agentic AI systems, that reason, plan, and act autonomously, with reduced or risk-based depth for lower-risk or human-assisted AI systems, as appropriate.
How do I assess my organization’s AI security posture?
Run the ASMM assessment across the six domains. Each of the 28 categories gets scored from 1 (Partial) to 4 (Adaptive). Your domain scores and overall score tell you where your program is mature and where the gaps are. The result is a prioritized roadmap, not a pass/fail.
Can I use this alongside existing frameworks like NIST CSF 2.0?
Yes. The ASMM is built on the NIST CSF 2.0 structure. Same six functions (Govern, Identify, Protect, Detect, Respond, Recover). It complements NIST CSF 2.0 by applying its six-function structure to AI security maturity, including agentic AI-specific risks, rather than replacing it.
We already use a vendor AI security tool. Does ASMM replace it?
No. ASMM is an assessment framework, not a product. It tells you where your security program stands and what to prioritize. Your existing tools are how you execute on that. Most organizations find ASMM useful precisely because it gives them a vendor-neutral baseline before or during vendor evaluation.
What about frameworks focused on AI in the SOC or secure development pipelines?
Those address real problems, but they scope AI as a tool used by humans. ASMM is built for the inverse: AI systems that act autonomously, agents that call APIs, access memory, spawn sub-agents, and make decisions without human approval per action. The threat categories are fundamentally different, and existing frameworks remain applicable foundations, but ASMM adds AI- and agentic-specific interpretation, maturity scoring, and control evidence across the six-domain model.