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Securing GenAI: From SaaS Copilots to Enterprise Applications

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Rehan Jalil

Rehan Jalil

CEO, Securiti

  • Oct 22, 2024    
  • 12:00 PM-12:20 PM PT

Two years into the GenAI revolution, enterprise adoption of Large Language Models (LLMs) in third-party SaaS and in-house developed applications face challenges. Industry surveys reveal data security and privacy risks are a top concern hindering widespread deployment. For example, early experiences with Microsoft Copilot and similar apps have revealed users gaining access to far more information than intended due to hygiene issues with complex access permissions. Building enterprise-grade in-house applications also requires rigorous data controls to ensure AI security and governance.

In this session, we’ll cover:

  • Data and AI security challenges for cybersecurity teams.
  • OWASP Top 10 for LLMs: Myths vs. Realities.
  • Why an LLM Firewall isn’t enough
  • Essential data security controls for GenAI adoption.
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