CISO Six-Step Plan for Secure AI Transformation

AI adoption is moving faster than traditional security controls can govern consistently. Risk lives in each interaction, where a prompt, model call, output, or agent action can move enterprise data across boundaries security teams can’t always see.

Organizations want AI efficiency and gains, and regulators want proof of governance and auditability. CISOs need a way to enable AI safely without slowing down the business.

This eBook gives them a working sequence for that need: a six-step path to establish visibility, control, and governance across AI in use, development, and production.

What’s inside:

• The CISO risk map and response: From data leakage and runtime threats to model integrity, compliance, and third-party risk
• Six-step path with CISO start points: How to move through AI inventory, posture checks, runtime protection, SOC workflows, audit evidence, and decision review
• A stronger audit position: How to collect evidence before regulators, boards, or internal reviewers ask for it
• The architecture test: Why AI security depends on inspecting and governing data in motion across users, apps, APIs, models, agents, and internal systems