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English(EN) GenAI-Driven Threat Detection with Microsoft Security Copilot

Microsoft Security Copilot使用AI代理进行自主威胁检测

作者 PulseAugur 编辑部 · [3 个来源] ·

Microsoft开发了一个动态威胁检测代理（DTDA），并将其集成到其Security Copilot中，旨在自主调查安全事件并生成新颖的警报。该代理利用统一的活动时间线、版本化的LLM提示合同以及规划器-执行器循环来发现隐藏的威胁。在评估中，使用GPT-5.4时，DTDA实现了80.1%的精确率，并将F1分数比基线方法提高了多达0.26个点，证明了其大规模识别被遗漏恶意活动的能力。 AI

影响 通过自动化威胁检测和分析来增强网络安全，有可能缩短响应时间并提高准确性。

排序理由 该集群包含一篇详细介绍新AI驱动的威胁检测系统的研究论文。

在 arXiv cs.AI 阅读 →

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Microsoft Security Copilot使用AI代理进行自主威胁检测

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报道来源 [3]

  1. arXiv cs.AI TIER_1 English(EN) · Scott Freitas, Amir Gharib ·

    微软安全Copilot驱动的生成式AI威胁检测

    arXiv:2605.20896v1 Announce Type: cross Abstract: Defending against today's increasingly sophisticated cyberattacks requires security analysts to continuously translate evolving attacker tradecraft into detection logic. This places defenders in a reactive posture, requiring const…

  2. arXiv cs.AI TIER_1 English(EN) · Amir Gharib ·

    使用微软安全Copilot进行生成式AI驱动的威胁检测

    Defending against today's increasingly sophisticated cyberattacks requires security analysts to continuously translate evolving attacker tradecraft into detection logic. This places defenders in a reactive posture, requiring constantly updated expertise across an increasingly fra…

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

    使用微软安全Copilot进行生成式AI驱动的威胁检测

    Defending against today's increasingly sophisticated cyberattacks requires security analysts to continuously translate evolving attacker tradecraft into detection logic. This places defenders in a reactive posture, requiring constantly updated expertise across an increasingly fra…

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