Insider Threats in the Age of Cyber Threat Intelligence: Behavioral Indicators and Detection Strategies
Dr.Vijayalakshmi Chintamaneni, Dr.M.SreeRamu, Shaik Abubakar Siddiq · International Journal of Engineering Technology and Management Sciences · 2025
Insider threats remain one of the most challenging aspects of cyber security, as they oftenbypasstraditional perimeter defenses. This paper explores how cyber threat intelligence (CTI) canenhance insider threat detection through behavioral analytics, anomaly detection, and machinelearning-based profiling. We investigate real-world insider threat incidents across the financial sector,critical infrastructure, and corporate environments to identify key indicators of malicious activity. Byintegrating AI-driven risk scoring models with CTI frameworks, we propose a predictive approachthat improves early threat detection and mitigation. Our findings emphasize the importance ofcontinuous monitoring, access control, and intelligence-sharing to counter evolving insider threatseffectively.