Data Security for Agentic AI

The Enterprise How-To Guide for Secure AI Data Access

AI is accelerating every part of the business. It is also expanding the attack surface faster than most organizations can keep up. As AI agents connect to more data across Snowflake, Databricks, Azure, AWS, and beyond, visibility and control become essential. The organizations that thrive will be the ones that treat AI access as a first-class security requirement.

This guide explains how data and security leaders can govern AI data access with clarity and speed. It breaks down the real risks, the new architectural requirements, and the practical steps enterprises are using today to make AI safe at scale.

What you get: 

• Understand the new risk vectors introduced by AI agents
• Learn how to identify and close visibility gaps across your data ecosystem
• See how leading enterprises are standardizing, enforcing, and monitoring access
• Get a clear framework for securing AI data with policy based controls and entitlement checks
• Explore the architectural requirements for safe, scalable AI adoption