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Zscaler: Securing AI Adoption: Visibility and Data Loss Prevention

Zscaler
03/20/2026
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TL;DR

  • AI is amplifying attack complexity and speed, creating significant new challenges for security defenders who must adapt their strategies accordingly.
  • Generative AI tools like ChatGPT introduced immediate shadow IT concerns when employees began using them without organizational visibility or controls.
  • Data loss prevention and visibility tools are essential first steps for organizations seeking to understand and govern AI usage across their workforce.

Summary

This brief customer perspective video addresses the dual-edged nature of generative AI in enterprise environments. Security practitioners discuss how AI technologies simultaneously enhance business productivity while creating more sophisticated attack vectors for threat actors. The speakers emphasize that defenders face an increasingly complex landscape as AI accelerates and amplifies traditional attack methods. A customer highlights how the emergence of ChatGPT created immediate visibility gaps in their organization, with employees accessing the tool without IT awareness. Zscaler's data loss prevention capabilities provided the critical first step in understanding AI usage patterns—identifying who was accessing generative AI tools, what data was being uploaded, and enabling security teams to build awareness programs around safe AI adoption. The video underscores the importance of visibility as the foundation for any AI governance strategy.

Chapters

0:00 - AI Threat Landscape
0:17 - Dual Impact of AI
0:41 - Gaining Visibility with Zscaler

Key Quotes

0:00 "AI attacks, I think, will just continue to make the attack vector more complex, faster and more challenging for our defenders."
0:41 "ChatGPT came out and we had no visibility into it. Zscaler was our key solution initially to help us understand who are going to it, what are they uploading, and then providing awareness."
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  • » Webinar Library » Zscaler
  • » Cybersecurity » Data Security
  • » Data Protection
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  • AI & Machine Learning
  • Data Privacy
  • Security Operations
  • Customer Story
  • Generative AI security
  • Data loss prevention
  • AI-powered attacks
  • Shadow IT visibility
  • ChatGPT governance
  • Zero trust security
  • Attack surface management
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