User and Entity Behavior Analytics (UEBA) Software

User and Entity Behavior Analytics (UEBA) software helps organizations detect unusual activity by analyzing the behavior of users, devices, applications, and other entities across digital environments. It uses data patterns, machine learning, and risk scoring to identify anomalies that may indicate insider threats, account compromise, fraud, or policy violations. As a result, buyers often compare the best UEBA software and top UEBA tools when evaluating ways to strengthen security monitoring.

This category is typically used by security operations teams, IT administrators, compliance groups, and risk management professionals in mid-sized to large organizations. Common use cases include threat detection, privileged user monitoring, account takeover detection, and investigation of suspicious events across cloud, on-premises, and hybrid systems. UEBA platforms are also useful for organizations that need better visibility into how users and systems behave over time.

Common features include behavioral baselines, anomaly detection, alert prioritization, dashboard reporting, integration with SIEM and other security tools, and automated incident workflows. Many products also support audit trails, contextual analytics, and customizable policies to reduce false positives and help teams focus on higher-risk activity. For businesses, UEBA software can improve incident response, support compliance efforts, and make it easier to identify security issues that traditional rule-based tools may miss.