The CISO's Guide to Protecting Sensitive Data from Shadow AI

AI-powered chatbots and generative AI apps are transforming how we work—but the convenience they bring can also open the door to hidden data exposure.

In this extensive guide, you'll learn what Shadow AI is and how to identify it. You’ll learn best practices for building a robust governance framework, integrating cutting-edge solutions, and building a roadmap to address Shadow AI risks. Key sections:
  • Introducing shadow AI and key stats you should know
  • Mapping the risks of generative AI apps
  • A real-world case study from a major breach involving shadow AI
  • How to identify shadow AI
  • How to build a governance and technology framework to protect sensitive data
  • Step-by-step implementation roadmap

Download the Guide

Learn how shadow AI puts sensitive data at risk and how you can take practical steps to mitigate these risks in this 20+ page PDF.

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Healthcare organizations need to protect PHI and comply with HIPAA. Nightfall automatically classifies all cloud data and finds at-risk patient data from a single platform.

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