10 Reasons to Augment Your SIEM with Behavioral Analytics

This white paper outlines the necessity of integrating User and Entity Behavior Analytics (UEBA) into Security Information and Event Management (SIEM) systems to enhance cybersecurity measures. It details how UEBA utilizes machine learning and behavior analysis to establish a baseline of normal activities for users and entities, allowing for the detection of anomalies that traditional security tools may miss. The paper lists ten specific use cases where UEBA can significantly improve security operations, such as detecting compromised user credentials, monitoring privileged user accounts, and identifying lateral movement within networks. It explains the importance of automating the detection, triage, and investigation processes to reduce the workload on security teams and improve response times to potential threats. The document emphasizes that UEBA provides a more effective solution for identifying advanced threats and mitigating risks in an increasingly complex cybersecurity landscape, thereby future-proofing organizational security frameworks.