研究人员开发了COHORT，一个旨在自动化网络安全缓解措施的创建和验证的新框架。这个多智能体LLM系统提出候选安全命令，在模拟的网络设备上实现它们，并通过攻击性回放测试其有效性。COHORT还包括检查以确保合法的网络连接得以保留，与单智能体方法相比，在缓解措施生成方面显示出显著的改进。 AI
影响 自动化网络安全缓解措施的创建和验证，可能减少手动工作量并缩短对网络威胁的响应时间。
排序理由 这是一篇详细介绍新框架和方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
在 arXiv cs.MA (Multiagent) 阅读 →
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2606.30479v1 Announce Type: cross Abstract: Mitigating an observed adversary in an enterprise network typically takes weeks of expert work: an analyst derives a mitigation tailored to that adversary, validates it without breaking production, and verifies it disrupts the spe…
Mitigating an observed adversary in an enterprise network typically takes weeks of expert work: an analyst derives a mitigation tailored to that adversary, validates it without breaking production, and verifies it disrupts the specific attack. The procedure relies on expert judgm…