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English(EN) Hi, I'm Chris, building Aggrete: an open-source proxy that governs what AI assistants can reach and do over MCP. The idea is simple, your code of conduct enforc

开源代理Aggrete通过控制工具访问来增强AI助手安全性

Chris开发了Aggrete,一个开源代理,旨在通过控制AI助手对现实世界系统的访问来增强其安全性。Aggrete通过在每次工具调用执行前强制执行行为准则来工作,防止可能导致潜在危险组合的操作,而这些危险组合可能不会在单个工具调用中显现。这种不依赖AI模型进行决策的确定性方法旨在降低AI助手访问和操纵敏感数据相关的风险。 AI

影响 该工具可以通过防止有害的操作序列来提高AI助手的安全性,可能增加企业对AI代理的采用。

排序理由 该集群描述了一个用于AI助手的开源代理工具的发布。

在 Mastodon — mastodon.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

开源代理Aggrete通过控制工具访问来增强AI助手安全性

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该集群描述了一个用于AI助手的开源代理工具的发布。
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2 independent sources
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product, safety
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报道来源 [2]

  1. Mastodon — mastodon.social TIER_1 English(EN) · cjohannsen ·

    给AI助手访问真实系统的棘手之处:单独调用每个工具都没问题。危害在于组合。提取预算(没问题)。

    The tricky thing about giving an AI assistant access to real systems: each tool call is fine on its own. The harm is in the combination. Pull the budget (fine). Pull the team roster (fine). Combine them into a layoff list (not fine). Per-call permission checks cannot see that. So…

  2. Mastodon — mastodon.social TIER_1 English(EN) · cjohannsen ·

    你好,我是Chris,正在构建Aggrete:一个开源代理,用于管理AI助手可以通过MCP访问和执行的操作。这个想法很简单,你的行为准则强制执行

    Hi, I'm Chris, building Aggrete: an open-source proxy that governs what AI assistants can reach and do over MCP. The idea is simple, your code of conduct enforced on every tool call, before anything is fetched. Deterministic, no model in the decision path. Apache-2.0. https:// gi…