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Securing the Generative AI Lifecycle with AWS and Zscaler

In this joint Zscaler and AWS session, Aaron Rolians and Travis Needens explore how enterprises can securely harness the power of generative AI without compromising data protection or compliance. They emphasize that AI can be both a powerful accelerator and a potential risk, making proactive security strategies essential to safe adoption.

The discussion highlights best practices for managing GenAI within enterprise environments—balancing innovation with control. Rather than banning AI outright, organizations are encouraged to apply Zero Trust policies, use integrated AWS and Zscaler controls, and build a culture of responsible AI use supported by visibility, governance, and security.

You'll learn: 

  • Why banning GenAI creates hidden risks and how to enable it securely
  • How to apply existing compliance and threat modeling practices to GenAI apps
  • Ways to empower users while enforcing policies that protect sensitive data

Adopt generative AI with confidence—implement Zero Trust principles, secure your data, and empower your teams to innovate safely in the era of AI.


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