Explainable multi-modal unsupervised learning for insider threat detection in enterprise environments

This is a research publication describing a method for detecting insider threats, which are security risks from employees or authorized users, using explainable multi-modal unsupervised learning (AI that learns patterns from multiple types of data without labeled examples and can show why it made decisions). The paper, published in November 2026, proposes an approach to identify suspicious behavior in enterprise environments by analyzing different data sources together.