PRISM system detects and stops secret leakage in multi-agent LLM pipelines

Researchers have developed PRISM, a new defense system designed to detect and mitigate the leakage of sensitive information in multi-agent Large Language Model (LLM) pipelines. PRISM addresses the risk of information propagating between agents, a phenomenon termed propagation amplification, by analyzing 16 different signals in real-time at each generation step. This approach combines lexical, structural, and behavioral features to calculate a risk score, allowing for per-token intervention and significantly outperforming existing defenses. AI

影响 Introduces a novel real-time defense mechanism to secure sensitive data within complex multi-agent LLM systems.

排序理由 The cluster contains a research paper detailing a new method for detecting and mitigating secret leakage in LLM pipelines. [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

• Abhishek Kumar
• LLM
• PRISM

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