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 specifically within the nuclear power industry. The report outlines the limitations of traditional cybersecurity controls in addressing human error and social engineering, which contribute to insider risks. It emphasizes the need for a proactive, human-centric approach that integrates behavioral science with security analytics. The proposed framework combines behavioral monitoring with psychosocial and organizational risk indicators to identify potential insider threats, distinguishing between careless and malicious actions. The report details the challenges faced by the nuclear sector in detecting early behavioral indicators of insider risk and discusses how the integration of behavioral and technical risk factors can improve detection and response. Additionally, it reviews illustrative cases that demonstrate the effectiveness of a behavioral analytic lens in identifying patterns that could lead to early intervention, thereby promoting a stronger security culture and improving operational resilience.