Behavioral Analytic Modeling for Insider Threat Mitigation

This technical report presents an advanced Expert AI Behavioral Analytic Modeling framework aimed at enhancing insider threat assessment and mitigation within the nuclear power industry. The document outlines the inadequacies of traditional cybersecurity measures in addressing human error and organizational factors that contribute to insider risks. It details the integration of behavioral monitoring and psychosocial indicators with technical and organizational considerations to identify potential insider threats. The framework is designed to differentiate between careless and malicious insiders by delivering context-rich insights tailored to the nuclear sector. The report emphasizes the importance of adopting a human-centric approach to cybersecurity, highlighting the need for improved early detection and a stronger security culture. It also discusses the expected outcomes of implementing this framework, including enhanced detection capabilities, reduced false positives, and better alignment with regulatory practices. Overall, the report advocates for a shift towards proactive behavioral analytics in managing insider threats in nuclear environments.