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English(EN) CyberFactory: Scaling Cyber Security Capabilities with Instances from the Wild

新的CyberFactory框架训练Aegis模型以执行网络安全任务

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了CyberFactory，一个旨在利用大型语言模型增强网络安全能力的开源框架。该框架有助于构建训练数据、合成代理轨迹以及训练模型以执行概念验证生成和漏洞修复等任务。该项目还推出了Aegis，一个使用CyberFactory训练的新模型，与基础模型相比，在网络安全基准测试中表现有所提升。 AI

影响 该框架和模型有望加速AI驱动的网络安全解决方案的开发和部署。

排序理由 该集群描述了一个用于网络安全任务的新开源框架和训练模型，详细介绍于一篇arXiv论文中。[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 →

新的CyberFactory框架训练Aegis模型以执行网络安全任务

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该集群描述了一个用于网络安全任务的新开源框架和训练模型，详细介绍于一篇arXiv论文中。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Jian Yang, Haau-Sing Li, Shawn Guo, Zixi Zhao, Yibo Tan, Jiajun Wu, Aishan Liu, Xianglong Liu, Tianyu Zheng, Bryan Dai, Chengran Yang ·

    CyberFactory：利用实战案例扩展网络安全能力

    arXiv:2608.23181v1 Announce Type: cross Abstract: As large language models (LLMs) continue to advance in coding capabilities, their potential in cybersecurity has drawn increasing research attention, with closed-source LLMs (e.g., Mythos) delivering advanced cybersecurity capabil…

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