AI RESEARCH
MV-Gate: Insider Threat Detection via Multi-View Behavioral Statistics and Semantic Modeling
arXiv CS.LG
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ArXi:2605.17761v1 Announce Type: cross Insider threats often reveal early anomalies through disruptions in behavioral statistics-such as altered recurrence patterns or short-versus long-term frequency shifts-rather than changes in event semantics. Yet, as the field has shifted from statistical modeling to log tokenization and deep sequential encoders, these statistical cues are weakened or lost, leaving current models insensitive to gradual and low-visibility insider behaviors.