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English(EN) ThreatForest: Multi-Agent Attack Tree Generation with Pluggable TTP Framework Mapping

新 AI 系统 ThreatForest 可自动从代码生成攻击树

研究人员开发了 ThreatForest,一个新颖的多智能体系统,旨在自动化云原生软件开发的威胁建模。该系统分析代码库以生成结构化的攻击树,将攻击步骤映射到 MITRE ATT&CK 和 CAPEC 等框架中的对手策略、技术和过程 (TTP)。ThreatForest 还综合了可操作的缓解措施,并纳入了人工干预验证点。虽然整个系统在生成威胁陈述、攻击树和缓解措施方面显示出有希望的结果,但 TTP 映射的嵌入阶段的准确性仍然是一个瓶颈。 AI

影响 该系统可以显著加快云原生应用程序的威胁建模速度,将稀缺的安全专业知识解放出来用于更复杂的任务。

排序理由 该集群包含一篇详细介绍新系统及其评估的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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

新 AI 系统 ThreatForest 可自动从代码生成攻击树

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Tool
该集群包含一篇详细介绍新系统及其评估的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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69 days old
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Cristian Leo, Anton Dykyi, Danny Cortegaca, Daniel Begimher, Prakash Jha ·

    ThreatForest:具有可插拔TTP框架映射的多代理攻击树生成

    arXiv:2607.27528v1 Announce Type: cross Abstract: Threat modeling is essential for secure software development, yet manual analysis of cloud-native architectures is slow and demands scarce security expertise. We present ThreatForest, a multi-agent system that generates structured…