UEBA (User and Entity Behavior Analytics) is a cybersecurity solution that uses advanced analytics, machine learning, and algorithms to detect abnormal behavior by users and entities (such as devices or applications) within a network. Unlike traditional security tools that rely on predefined rules or known threat signatures, UEBA focuses on understanding what “normal” behavior looks like and identifies deviations that may indicate insider threats, compromised accounts, or lateral movement by attackers.
UEBA solutions strengthen business security by detecting threats that often go unnoticed by conventional defenses. These include insider attacks, data exfiltration, privilege misuse, and advanced persistent threats (APTs). By continuously analyzing user behavior patterns and correlating them with security events, UEBA provides contextual insights, improves threat detection accuracy, and reduces false positives. It also enhances existing security systems like SIEM or SOAR by adding a behavioral layer of intelligence. For organizations, this means better protection of sensitive data, more efficient security operations, and improved compliance with regulations such as HIPAA, GDPR, and PCI-DSS.
