AI RESEARCH
Cyber Defense Benchmark: Agentic Threat Hunting Evaluation for LLMs in SecOps
arXiv CS.AI
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ArXi:2604.19533v1 Announce Type: cross The benchmark wraps 106 real attack procedures from the OTRF Security-Datasets corpus - spanning 86 MITRE ATT&CK sub-techniques across 12 tactics - into a Gymnasium reinforcement-learning environment. Each episode presents the agent with an in-memory SQLite database of 75,000-135,000 log records produced by a deterministic campaign simulator that time-shifts and entity-obfuscates the raw recordings.