Detecting Insider Threats: Best Practices and Technologies

Abstract

 Insider threats represent a critical challenge for modern organizations as they can cause significant harm through the misuse of authorized access to sensitive systems and data. Detecting insider threats is complicated by the fact that insiders, including employees, contractors, and business partners, already possess legitimate access rights, making it difficult to distinguish between regular and malicious activities. This review paper examines insider threat detection strategies, focusing on the role of both human and technological factors. Best practices, such as establishing behavior baselines, implementing strict access controls, and conducting regular security training, are discussed alongside advanced technologies like User and Entity Behavior Analytics  (UEBA), Security Information and Event Management (SIEM) systems, and Data Loss Prevention (DLP) solutions. By integrating these practices and 
technologies, organizations can more effectively detect, mitigate, and respond to insider threats. As insider risks grow in both frequency and sophistication, this review highlights the need for a multi-layered, adaptive approach to securing organizational assets