Leveraging AI to Combat Insider Threats in Enterprises

This article discusses how AI enhances insider threat detection through behavioral analytics, NLP, machine learning, and real-time monitoring; surveys tools such as UEBA, DLP, IAM, and SOAR; and recommends best practices including risk assessment, privacy compliance, integration with existing security controls, employee awareness, and continuous model training. It spotlights SOCRadar’s dark web monitoring and real-time alerting for insider-related risks and outlines future trends like explainable AI, predictive prevention, integration with emerging technologies, and autonomous mitigation, positioning AI as a proactive pillar for reducing insider risk in enterprises.