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English(EN) Multi-Agent Firewall Architecture for Privacy Protection of Sensitive Data in Interactions with Language Models

新的多智能体防火墙架构通过LLM保护敏感数据

作者 PulseAugur 编辑部 · [3 个来源] ·

研究人员开发了一个开源的多智能体防火墙架构，用于在与大型语言模型（LLM）交互时保护敏感数据。该系统由浏览器扩展和代理组成，可拦截HTTP(S)和WebSocket流量，以防止数据泄露。它采用了一种混合方法，结合了确定性检测器、LLM驱动的语义分析和专有代码预防，在评估中达到了高达94.93%的F1分数。 AI

影响 增强了LLM集成的安全性，可能使其在敏感的企业环境中得到更广泛的应用。

排序理由 该集群包含一篇学术论文，详细介绍了LLM交互安全的新技术架构。

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

新的多智能体防火墙架构通过LLM保护敏感数据

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Research
该集群包含一篇学术论文，详细介绍了LLM交互安全的新技术架构。
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3 independent sources
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90 days old
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报道来源 [3]

  1. arXiv cs.AI TIER_1 English(EN) · Hugo Garc\'ia Cuesta, Pablo Mateo Torrej\'on, Alfonso S\'anchez-Maci\'an ·

    用于语言模型交互中敏感数据隐私保护的多智能体防火墙架构

    arXiv:2607.08282v1 Announce Type: cross Abstract: While Large Language Models (LLMs) have become essential productivity tools, their integration into workflows without adequate safeguards creates significant risks. This paper proposes an open-source, privacy-focused, user-facing …

  2. arXiv cs.AI TIER_1 English(EN) · Alfonso Sánchez-Macián ·

    用于语言模型交互中敏感数据隐私保护的多智能体防火墙架构

    While Large Language Models (LLMs) have become essential productivity tools, their integration into workflows without adequate safeguards creates significant risks. This paper proposes an open-source, privacy-focused, user-facing firewall designed to secure both web-based and pro…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    用于语言模型交互中敏感数据隐私保护的多智能体防火墙架构

    While Large Language Models (LLMs) have become essential productivity tools, their integration into workflows without adequate safeguards creates significant risks. This paper proposes an open-source, privacy-focused, user-facing firewall designed to secure both web-based and pro…

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