arXiv Artificial Intelligence

RangeFactory: Scalable Construction of Multi-Hop Cyber Ranges

RangeFactory: Scalable Construction of Multi-Hop Cyber Ranges

Quick summary

arXiv:2608.09526v1 Announce Type: cross Abstract: Real-world cyberattacks often require sustained progress across multiple hosts and network segments, making multi-hop cyber ranges essential infrastructure for studying and improving LLM agents' ability to sustain complete attack chains. Prior work has scaled isolated vulnerability tasks and constructed multi-host scenarios from manually specified vulnerability semantics. However, they are still unable to automatically orchestrate the growing supply of vulnerability environments into end-to-end validated multi-hop ranges. To this end, we presen

Key takeaways

  • arXiv:2608.09526v1 Announce Type: cross Abstract: Real-world cyberattacks often require sustained progress across multiple hosts and network segments, making multi-hop cyber ranges essential infrastructure for studying and improving LLM agents' ability to sustain complete attack chains.
  • Prior work has scaled isolated vulnerability tasks and constructed multi-host scenarios from manually specified vulnerability semantics.
  • However, they are still unable to automatically orchestrate the growing supply of vulnerability environments into end-to-end validated multi-hop ranges.

Why it matters

“RangeFactory: Scalable Construction of Multi-Hop Cyber Ranges” shows why AI risk cannot be reduced to answer accuracy. Access controls, logging, human approval and incident response need to be designed into the workflow from the start.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗