5 Steps to Secure the Data Behind Every AI Initiative

Every assistant, copilot, workflow, and agent depends on the data already inside your enterprise. Overexposed files, unclassified sensitive data, and inherited permissions don’t go away when AI arrives. They scale with it. Before you expand AI, you need a data foundation you can trust.

This practical guide breaks that foundation into five steps: discover what AI could reach, classify what actually matters, govern what AI can inherit, protect data when it is used or moved, and validate that the foundation still holds as AI expands.