From predicting optimal stock levels to enhancing fraud detection (and much more!), business leaders have only just begun exploring the value of generative AI. Yet as organizations set forth on this new frontier, one overwhelming uncertainty looms: Data security and privacy matter more now than ever—and few are equipped to proceed with full confidence.
This data automation guide outlines:
Why data leakage in a genAI world lead to bigger risks and more costly losses for business leaders
Common business scenarios in which sensitive data can become accidentally exposed within or outside the organization
Data automation guardrails and best practices for keeping data protected and secure at all times