User & Entity Behavior Analytics (UEBA) refers to cybersecurity solutions that analyze the behaviors of users, devices, and other entities within an organization’s network to identify anomalies that may indicate security threats. By establishing baselines of normal activity, UEBA systems can detect deviations that could signal insider threats, compromised accounts, or lateral movement by attackers. Core capabilities of UEBA include the collection and aggregation of activity data from various sources, advanced analytics using machine learning or statistical models, and the generation of alerts when unusual patterns are detected. These solutions often integrate with existing security information and event management (SIEM) platforms to enhance threat detection and incident response workflows. UEBA is typically used by security operations center (SOC) analysts, threat hunters, and incident response teams seeking to improve detection of sophisticated threats that may bypass traditional signature-based defenses. Unlike traditional SIEM or log management tools, which focus on rule-based correlation and event logging, UEBA emphasizes behavioral analysis and context-aware detection. Cyberin provides a neutral platform for organizations to explore and compare User & Entity Behavior Analytics solutions based on their specific requirements.