A Cyber Range Evaluation of Autonomous Network Incident Response Agents
We test the performance of agents for automated network intrusion response in a cyber range intended for human operator training. The range implements an emulated networking environment with a variable network topology, red-team emulation and simulated user agents. The goal of the defensive agents is to prevent hosts in the network from being accessed by the red-team agent, while minimizing the availability costs induced from defensive measures. Alerts are generated using a SIEM platform and mapped to a data modeling language used by the agents. We test a combination of heuristic agents and policies learned using reinforcement learning. The learned policies are optimized to minimize the c...
| Authors | Jakob Nyberg, Teodor Sommestad, Andrei Buhaiu et al. |
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| Primary category | cs.CR |
| Published | 15 September 2026 |
| Last updated at source | 15 September 2026 |
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