User and Entity Behavior Analytics (UEBA) is an advanced cybersecurity technology that focuses on monitoring and analyzing the behaviours of users and entities within an organization’s network to detect anomalies and potential threats. Unlike traditional security measures, UEBA leverages machine learning and artificial intelligence to identify insider threats, account takeovers, ransomware, and fileless malware by recognizing unusual patterns that deviate from normal activity.

Recent developments in UEBA highlight its integration with endpoint protection platforms, Security Information and Event Management (SIEM) systems, and Managed Detection and Response (MDR) services. These integrations enhance the capability of security teams to proactively detect and respond to sophisticated cyberattacks, reduce false positives, and mitigate risks associated with cloud adoption, hybrid workforces, and insider threats. Exploring stories tagged with UEBA offers insights into how companies are evolving their cyber resilience strategies by embracing behavioural analytics, AI, and machine learning within their security operations.