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The Enterprise Guide to AI Data Security

AI security is a data security problem. AI moves data at machine speed and security programs built for human-paced interactions — email, downloads, file transfers — were never designed to keep up. By the time a sensitive record surfaces in an AI-generated response or an agent completes an autonomous workflow, the exposure has already happened.

In this guide, you will learn how to:

  • Identify your full AI risk surface across shadow AI tools, sanctioned enterprise AI platforms and autonomous agents, including the data each one can reach and the governance gaps each one creates.
  • Enforce policy across every AI interaction using inline controls and prompt inspection that extend your existing data security policies to AI automatically, without rebuilding your security stack.
  • Build toward AI governance maturity with the AI Security Maturity Model, a staged framework for assessing where your organization stands today and what to prioritize at every phase.