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English(EN) From Controlled to the Wild: Evaluation of Pentesting Agents for the Real-World

新的AI渗透测试评估协议反映了真实世界的复杂性

研究人员开发了一种新的AI渗透测试代理评估协议,旨在更好地反映真实世界场景。与专注于简化环境中预定义目标的现有基准不同,该新协议根据复杂目标上经过验证的漏洞发现来评估代理。它结合了基于LLM的语义匹配、模糊感知评分以及持续的地面实况维护,以提供对AI渗透测试能力更具操作信息量的比较。相关的代码和地面实况数据正在发布,以确保可重复性。 AI

影响 该新协议可能导致对AI渗透测试工具进行更准确的比较,从而推动网络安全领域更好的开发和采用。

排序理由 该集群描述了一篇提出新颖的AI渗透测试代理评估协议的新学术论文。

在 arXiv cs.AI 阅读 →

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

新的AI渗透测试评估协议反映了真实世界的复杂性

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该集群描述了一篇提出新颖的AI渗透测试代理评估协议的新学术论文。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Pedro Conde, Henrique Branquinho, Valerio Mazzone, Bruno Mendes, Andr\'e Baptista, Nuno Moniz ·

    从受控到野外:面向真实世界的渗透测试代理评估

    arXiv:2605.10834v2 Announce Type: replace Abstract: AI pentesting agents are increasingly credible as offensive security systems, but current benchmarks still provide limited guidance on which will perform best in real-world targets. Existing evaluation protocols assess and optim…

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

    从受控到野外:面向真实世界的渗透测试代理评估

    AI pentesting agents are increasingly credible as offensive security systems, but current benchmarks still provide limited guidance on which will perform best in real-world targets. Existing evaluation protocols assess and optimize for predefined goals such as capture-the-flag, r…