This article outlines four essential security controls for integrating Large Language Model (LLM) features into cloud applications. It emphasizes that traditional cloud security measures are insufficient for application-level risks like prompt injection, retrieval leakage, and over-permissioned tools. The proposed controls include enforcing access at the retrieval layer by filtering data based on user permissions before it reaches the LLM, implementing least-privilege principles for agent tools, treating model output as untrusted input requiring validation, and logging all prompts, retrievals, and tool calls for auditing purposes. AI
IMPACT Enhances the security posture for integrating LLMs into cloud applications, mitigating risks like data leakage and unauthorized actions.
RANK_REASON Article provides practical guidance on securing AI features within existing software products.
- application programming interface key
- Association for Computational Linguistics
- AuthUser
- Cloud Apps
- LLM
- Over-permissioned tools
- prompt injection
- RAG pipeline
- Retrieval leakage
- shadow AI
- tenantId
- VectorStore
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