The AI Security Maturity Playbook

AI agent security focuses on protecting systems that can take actions on their own, like calling APIs, accessing data, or triggering workflows. Unlike traditional applications, AI agents operate dynamically, so security needs to account for real-time behavior, not just static configuration.

AI systems don’t behave like traditional applications. A maturity model gives you a clear way to assess your current state, identify gaps, and prioritize what to improve next without slowing down adoption.

By looking at how your team handles visibility, posture, monitoring, and response. This playbook breaks down what “good” looks like at each stage so you can quickly identify where you are and what’s missing.

Risk becomes dynamic. AI systems interact with data, APIs, and other systems in real time, so security needs to shift from static checks to continuous monitoring and control.