English(EN) Formal Policy Enforcement for Agentic Systems

基于 Datalog 的新系统为 Agentic AI 安全执行正式策略

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 04:00

研究人员开发了一种新颖的方法，通过在运行时执行正式策略来增强 Agentic 计算系统的安全性。该方法允许用户使用 Datalog 定义策略，然后在代理尝试执行操作时对其进行监控和强制执行。该系统构建事件图，以根据当前系统状态和历史事件确定操作是否会违反指定策略，并阻止任何违规行为。这项工作旨在创建可证明安全可靠的 Agentic 系统。 AI

影响引入了一种可证明安全可靠的 Agentic 系统的方法，解决了 AI 开发中的关键安全问题。

排序理由详细介绍 AI 安全新技术的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Nils Palumbo, Sarthak Choudhary, Jihye Choi, Guy Amir, Prasad Chalasani, Isil Dillig, Somesh Jha · 2026-10-15 04:00

对代理系统的正式策略执行

arXiv:2602.16708v4 Announce Type: replace-cross Abstract: As agentic computing systems grow increasingly popular, they raise serious security concerns due to their susceptibility to various attacks. While prior research efforts aim to mitigate these concerns, they are often too c…

本文如何被排名

报道来源 [1]

对代理系统的正式策略执行

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