A Hybrid Insider Threat Detection Framework Combining Multi-Agent Simulation, Layered SIEM Correlation, and Theory-of-Mind Reasoning
Novel insider-threat detection framework blends multi-agent simulation with theory-of-mind reasoning and SIEM correlation — a research-stage concept that could enhance enterprise UBA programmes.
Summary written by editorial AI · Source link below
arXiv:2601.04243v2 Announce Type: replace Abstract: This paper presents a hybrid insider threat detection framework for enterprise environments, integrating multi-agent simulation, layered SIEM correlation, trust-adaptive thresholds, behavioral and communication forensics, and Theory-of-Mind reasoning. Email is treated not as a control channel but as a coordination and social-engineering evidence stream correlated with authentication, file-access, and privilege events. Four variants are evaluat
Editorial Analysis
Insider threats remain one of the hardest detection challenges; layering cognitive-reasoning models onto SIEM data could materially improve detection fidelity.
Assess whether the trust-adaptive threshold concept from this research can be prototyped within your SIEM or UBA platform.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at arXiv Crypto & Security in a new tab.
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