Researchers have developed RangeFactory, a framework designed to automatically construct multi-hop cyber ranges at scale. This system formulates range construction as a dependency resolution problem, extracting information from actual agent attacks against vulnerabilities. RangeFactory then orchestrates these dependencies and validates them through end-to-end attack execution, enabling the creation of complex, multi-host attack scenarios for evaluating LLM agents. Using this framework, a benchmark called RangeBench was created with 1,148 validated range instances, revealing a significant gap in agents' ability to sustain compromise beyond an initial foothold. AI
IMPACT This framework could accelerate the development and evaluation of LLM agents for cybersecurity tasks by providing scalable and realistic training environments.
RANK_REASON The cluster contains a research paper detailing a new framework for constructing cyber ranges. [lever_c_demoted from research: ic=1 ai=1.0]
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
