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

CyberFactory框架训练Aegis模型以增强网络安全LLM能力

作者 PulseAugur 编辑部 · [2 个来源] · 2026-08-24 00:00

研究人员推出CyberFactory，一个旨在增强大型语言模型网络安全能力的开源框架。该框架从真实世界漏洞中构建代理训练数据，使模型能够学习概念验证生成、漏洞修复和网络安全问答。训练出的模型名为Aegis，在CyberGym基准测试中表现出显著的改进，优于其基础模型和其他通用骨干模型。 AI

影响增强了开源LLM在网络安全方面的能力，可能改进防御和漏洞分析。

排序理由该集群在一篇arXiv论文中描述了一个新的开源框架和用于网络安全的训练模型。

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

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Newsworthiness bucket: Research; 该集群在一篇arXiv论文中描述了一个新的开源框架和用于网络安全的训练模型。
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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 · 2026-08-25 04:00

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…
Hugging Face Daily Papers TIER_1 English(EN) · 2026-08-24 00:00

CyberFactory：利用实战案例扩展网络安全能力

CyberFactory is an open-source framework that builds agentic training data from real vulnerabilities to train Aegis, improving open-weight cybersecurity performance across proof-of-concept generation, patching, and question answering.