The AI Security Maturity Model for AI-First Development Teams

A framework for evolving from reactive cleanup to proactive AI governance & protection

AI adoption in software development often, if not always, moves faster than security programs can adapt to keep pace with. This creates a predictable and problematic pattern: teams start using AI informally, security discovers usage reactively and organizations scramble to establish governance after risks have materialized.

This maturity model provides a roadmap for evolving AI security from reactive incident response to proactive, audit-ready governance. It's designed to help teams adopting AI-led development – whether in the early stages or further along in use across engineering – understand where they are today, what good looks like and next steps to progress your program.

How to use this model

• Read each stage description and identify where your organization is today
• Use the self-assessment questions to confirm your current stage
• Focus on progressing one stage at a time – don't try to skip stages
• Reassess quarterly as AI workflows and tools evolve