Security Practitioner’s Guide to AI Data Readiness

For most enterprises, the first real exposure to generative AI comes through tools like Microsoft 365 Copilot and AI assistants embedded in SaaS platforms. These systems inherit years of permissions, shared drives, and forgotten repositories, suddenly making sensitive data searchable and synthesizable by AI. Without clear visibility into what data exists and who or what can access it, copilots can unintentionally expose information across teams, systems, and tenants. At the same time, security teams still struggle with fragmented visibility across cloud, SaaS, and legacy environments. DLP, IAM, and logging tools each provide part of the picture but lack an AI-aware view of how copilots and agents actually access and use data. AI Data Readiness helps organizations understand where sensitive data lives, how AI systems can reach it, and how to govern that access before enabling AI at scale.

In this guide, you’ll learn how to: