Unveiling Security Risks in Public Large Language Models

Thursday, May 9, 2024

2:00 - 3:00 PM EST

60 minutes, including Q&A

As public Large Language Models (LLMs) become increasingly pervasive, the potential security risks they pose are a cause for concern. How can enterprises navigate these risks and ensure the responsible development and deployment of these powerful models?

In this webinar, join Shiri Arad Ivtsan, Senior Director of Product Management Unveiling Security, as she delves into the crucial strategies for mitigating security risks associated with public LLMs. This discussion is essential to understanding the evolving landscape of LLMs and ensuring their responsible development and deployment.

Key Highlights:

  • The evolving landscape of LLMs and their impact on enterprises
  • Understanding the security risks of public Large Language Models
  • Strategies for mitigating security risks in LLMs
  • Responsible development and deployment of public LLMs
  • Ensuring a secure environment for public LLM interactions

Sponsored by:



Shiri Arad Ivtsan

Senior Director of Product Management


Shiri is an experienced cloud solutions architect and Product Director and holds a B.Sc. in industrial engineering and management. Prior to joining Mend.io, Shiri worked for various companies where she held roles in R&D, such as solutions architect, R&D team leader and product manager.

Terry Sweeney


Black Hat

Terry Sweeney is a Los Angeles-based writer and editor who's covered business technology for three decades. He's written about cyber security for more than 15 years and was one of the founding editors of Dark Reading. Sweeney has covered enterprise networking extensively, as well as its supporting technologies like storage, wireless, cloud-based apps and the emerging Internet of Things. He's been a contributing editor to The Washington Post, Crain’s New York Business, Red Herring, Information Week, Network World, SearchAWS.com, and Stadium Tech Report.

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