Securing Retrieval Pipelines in Large Language Models


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This session will explore the security challenges in retrieval-augmented generation (RAG) for large language models (LLMs), focusing on novel approaches for vector databases and lessons learned from traditional SQL database security. Attendees will gain insights into evolving threats and considerations in securing RAG pipelines.

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Participants
Neal Swaelens

Speaker

Head of Product, LLM Security, Protect AI

Oleksandr Yaremchuk

Speaker

Head of Engineering, LLM Security, Protect AI


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