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

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.