CyberFactory: Scaling Cyber Security Capabilities with Instances from the Wild

• 类型：arxiv
• 标识：2608.23181
• 链接：https://arxiv.org/abs/2608.23181
• 主分类：agent
• 形态：method
• TLDR：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 capabilities. However, existing open-source efforts remain limited: frontier open-weight models do not provide reproducible cybersecurity training solutions, open-source training solutions focus on isolated tasks and lack scalable agentic data, and scaling agentic rollouts requires strong domain priors. In this work, we introduce CyberFactory, a unified open-source framework
• 副分类：engineering
• 待LLM分类：否
• 来源文件：
• /inbox/tom/_candidates/2026-08-26-agent-rag-longcontext-candidates.json