Lasso Security sets new standard in LLM safety with Context-Based Access Controls

VentureBeat August 6, 2024
Louis Columbus

To scale up large language models (LLMs) in support of long-term AI strategies, enterprises are relying on retrieval augmented generation (RAG) frameworks that need stronger contextual security to meet the skyrocketing demands for integration.

Protecting RAGs requires contextual intelligence

However, traditional RAG access control techniques aren’t designed to deliver contextual control. RAG’s lack of native access control poses a significant security risk to enterprises, as it could allow unauthorized users to access sensitive information.

Role-Based Access Control (RBAC) lacks the flexibility to adapt to contextual requests, and Attribute-Based Access Control (ABAC) is known for limited scalability and higher maintenance costs. What’s needed is a more contextually intelligent approach to protecting RAG frameworks that won’t hinder speed and scale.

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