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Home»AI Applications & Case Studies»Overcoming Security Challenges of Protecting Shared Generative AI Environments | by Han HELOIR, Ph.D. ☕️ | December 2024
AI Applications & Case Studies

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

December 3, 20240261 Min Read
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The gap between concept and production comes from several challenges: data integration issues, limitations of existing systems, use case ROI considerations, and security barriers. In this article, we will focus on a critical aspect of security: resources in multiple tenants.

In AI-powered generative applications, it’s rarely just about writing text or responses. Most applications perform data search operations to populate LLMs with relevant information to ensure quality results. When an AI model is used in generative AI and targets more than one customer or internal service, we generally let each customer or service have…

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