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UEBA
What Is UEBA?
User and Entity Behavior Analytics (UEBA) is a type of security analytics that uses machine learning and data science to detect anomalies in user and entity behavior. It is used to identify malicious or suspicious activities that may indicate a security breach or other malicious activity. UEBA is used to detect threats that may not be detected by traditional security measures, such as firewalls and antivirus software. UEBA can also be used to detect insider threats, such as employees who are accessing sensitive data without authorization. UEBA can also be used to detect anomalous behavior in user accounts, such as unusual login attempts or changes in user activity.
Description
User and Entity Behavior Analytics (UEBA) is a type of security analytics that uses machine learning and data science to detect anomalies in user and entity behavior.
Usage and Examples
UEBA can be used to detect malicious or suspicious activities that may indicate a security breach or other malicious activity. For example, UEBA can be used to detect unusual login attempts or changes in user activity. UEBA can also be used to detect insider threats, such as employees who are accessing sensitive data without authorization. Additionally, UEBA can be used to detect anomalous behavior in user accounts, such as unusual login attempts or changes in user activity.
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