AI Security Maturity Model (AISMM)
Released: 05/07/2026
The AI Security Maturity Model (AISMM) helps organizations assess, build, and improve their AI security programs. Aligning with common information security structures, processes, and responsibilities, the AISMM provides a practical roadmap for advancing AI security maturity across the enterprise.
Unlike other AI maturity models that focus on AI governance or individual AI projects, the AISMM specifically focuses on operationalizing an enterprise AI security program. The model utilizes domains that reflect real-world functions, including app security, incident response, and AI risk management.
Aligned with CSA research and the AI Controls Matrix (AICM), the AISMM identifies key indicators of maturity. Organizations can use these indicators to evaluate the effectiveness and scalability of their AI security practices. The AISMM also addresses cross-functional concerns such as data privacy, regulatory compliance, provider risk evaluation, and AI deployment governance. No matter what stage of your AI journey you're at, the AISMM will help you build a resilient AI security program.
Key Takeaways:
- How to build and assess a comprehensive enterprise AI security program
- How to measure AI security maturity across critical operational domains
- How to align with CSA AI security controls
- How to establish scalable processes for securing AI systems and services
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Best For:
- CISOs and security leaders
- AI security architects
- GRC professionals
- IAM and infrastructure security teams
- AI/ML engineering and platform teams
- Security operations and IR teams
