Empower Users and Protect Against GenAI Data Loss

Empower Users and Protect Against GenAI Data Loss
Generative AI tools are being widely adopted by employees across industries, often outside official channels, creating new security challenges like Shadow AI. Protecting sensitive data requires organizations to prioritize visibility, contextual policies, and data loss prevention rather than just blocking AI apps. #ShadowAI #DataLeakage

Keypoints

  • Employees quickly adopted generative AI tools for increased productivity and communication.
  • Organizations initially responded by blocking AI access, but users found ways around restrictions.
  • Shadow AI refers to unmonitored AI usage that poses undisclosed security risks.
  • Visibility into AI traffic is essential for effective risk assessment and policy development.
  • Context-aware, policy-driven governance helps balance AI enablement with data protection.

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