AI RESEARCH
OrgForge-IT: A Verifiable Synthetic Benchmark for LLM-Based Insider Threat Detection
arXiv CS.LG
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ArXi:2603.22499v1 Announce Type: cross Synthetic insider threat benchmarks face a consistency problem: corpora generated without an external factual constraint cannot rule out cross-artifact contradictions. The CERT dataset -- the field's canonical benchmark -- is also static, lacks cross-surface correlation scenarios, and predates the LLM era. We present OrgForge-IT, a verifiable synthetic benchmark in which a deterministic simulation engine maintains ground truth and language models generate only surface prose, making cross-artifact consistency an architectural guarantee.