What is User and Entity Behavior Analytics UEBA?
User and Entity Behavior Analytics UEBA Definition: Tools that monitor and analyze user or device behavior, detecting anomalies that may signal malicious or risky activity.
Understanding User and Entity Behavior Analytics UEBA
User and Entity Behavior Analytics (UEBA) tools use machine learning to understand what 'normal' behavior looks like for users and systems in your network, then flag anything that deviates from that baseline. Traditional security tools focus on known threats and attack patterns, but UEBA excels at spotting the unknown—detecting subtle anomalies that might indicate compromise. For example, it might notice when an administrator account suddenly accesses sensitive databases at 3 AM, or when a workstation starts connecting to servers it never communicated with before. What makes UEBA powerful is its ability to connect dots across different systems and time periods, identifying suspicious patterns that individual security tools would miss. It's particularly effective at detecting insider threats, compromised accounts, and advanced persistent threats that deliberately try to blend in with normal activity. Organizations typically deploy UEBA as a complement to traditional security tools, not as a replacement.