This guide outlines how CISOs can secure rapidly expanding AI environments by shifting from fragmented controls to a unified, portfolio-level security strategy. It highlights that most organizations lack visibility into AI deployments, creating significant risk across generative, ML, and agentic systems. The roadmap introduces a three-layer architecture: foundational controls (IAM, data governance), workload-specific protections (e.g., prompt injection defense, drift detection), and unified visibility with coordinated response. It also provides a phased implementation plan—starting with AI inventory, then deploying controls, and finally enabling continuous operations. The key takeaway is that AI security must evolve into a centralized, scalable platform to keep pace with adoption.

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