Netskope Embracing Generative AI: Business Transformation, Security and Privacy Challenges

Abstract: This roundtable explores the exciting potential of Generative AI for innovation and team empowerment. We will delve into practical strategies for safe and responsible AI adoption within your organization. Discussions will focus on the development of clear usage policies, data governance best practices, and leveraging AI-driven security solutions to counter evolving cyber threats. Discover how to implement a robust framework for Generative AI governance and strike the delicate balance between AI advancement and cybersecurity resilience.

Discussion Points:

1. Governance for Generative AI: How can your organization implement a framework and process for governing Generative AI?
2. Handling Regulated Data: Explore best practices for handling regulated data with Large Language Models (LLMs).
3. Business-Enabling Use Cases: Discuss strategies for understanding and creating impactful business-enabling Generative AI use cases.
4. Controlling Data Flow: Learn how to manage data flow within LLMs, considering both private and public data.
5. Preventing Legal Issues: Explore strategies for avoiding legal issues such as copyright infringement when using Generative AI.
6. Protecting Sensitive Data: Discover methods for safeguarding sensitive data during Generative AI operations.