Overcoming Security Challenges in Protecting Shared Generative AI Environments | by Han HELOIR, Ph.D. ☕️ | Dec, 2024


The gap between concept and production comes from several challenges: data integration issues, legacy system limitations, use case ROI considerations, and security barriers. In this article, we’ll focus on one critical security aspect — resources in multiple tenants.

In generative AI-powered applications, it is rarely only about composing text or responses. Most applications perform data lookup operations to feed LLMs with relevant information to ensure quality outputs. When an AI model is used in Generative AI that targets more than one client or internal department, we usually let each client or department have different…

Recent Articles

Related Stories

Leave A Reply

Please enter your comment!
Please enter your name here