User and Entity Behaviour Analytics

User and Entity Behaviour Analytics (UEBA) helps security teams detect threats that traditional security tools can miss by identifying unusual behaviour across users, devices, applications and other entities. 

Rather than relying solely on known indicators of compromise, UEBA uses analytics and machine learning to establish normal patterns of activity and highlight behaviour that could indicate compromised accounts, insider threats or malicious activity.

This section explores the technologies, strategies and best practices behind UEBA, helping organisations improve threat detection and reduce the time it takes to identify suspicious behaviour. Discover independent insights, expert guidance and real-world experiences covering behavioural analytics, insider threat detection, identity monitoring, risk scoring, anomaly detection, privileged user activity, account compromise and integration with SIEM, SOAR, IAM and XDR platforms. You'll also find practical advice on reducing false positives, improving investigation workflows and using behavioural intelligence to strengthen security operations.

Whether you're enhancing an existing Security Operations Centre (SOC) or building a more proactive detection strategy, this community provides practical knowledge to help you identify hidden threats, prioritise investigations and respond to suspicious activity with greater confidence.