Go Back
Virtual
Event

Netskope Embracing Generative AI: Business Transformation, Security and Privacy Challenges - US Southeast + Mid Atlantic

USA - Southeast & Mid Atlantic
13:00 - 14:30 EST+120.08.24

Abstract Overview:

Generative AI promises to revolutionize workflows and unlock new avenues for business growth. However, its rapid adoption necessitates a focus on mitigating potential security and privacy risks. Join us for a thought-provoking discussion on how to leverage the power of Generative AI while fostering a culture of responsible innovation.

Discussion Points:

  • Governance for Generative AI: Explore frameworks and best practices for establishing effective governance over Generative AI use cases.
  • Building Secure and Compliant LLMs: Discuss strategies for handling regulated data within Large Language Models (LLMs) and ensuring compliance with relevant regulations.
  • Data Flow Management: Explore strategies for controlling and securing data flow within LLMs, considering both private and public data sets.
  • Mitigating Legal Risks: Identify potential legal issues associated with Generative AI, such as copyright infringement, and discuss strategies for mitigating them.
  • Protecting Sensitive Data: Delve into techniques for safeguarding sensitive data throughout the Generative AI lifecycle.
  • The Role of AI Security Tools: Explore how advanced AI-driven security solutions can be leveraged to combat evolving cyber threats associated with Generative AI.

 

Generative AI
Data Protection
Large Language Models