arXiv: cs.AI preprintsInternational6 November 2026
A Cyber Range Evaluation of Inductive Autonomous Network Incident Response Agents
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arXiv:2609.16541v2 Announce Type: replace-cross Abstract: We have applied a novel combination of classic relational database modeling and modern reinforcement learning to automated intrusion response to enable inductive decision agents. Unlike previous work in the area, our approach allows agents to handle variable quantities of network assets without retraining. We test the operational performance of our approach in a virtualized computer network with variable topologies, red-team automation and simulated user agents. The task of the agents is to prevent hosts in the network from being access
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