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Training Camp • Cybersecurity Glossary
User and Entity Behavior Analytics (UEBA) is a cybersecurity technology that focuses on detecting insider threats, targeted attacks, and financial fraud by analyzing user behavior and entity activity across an organization's network using machine learning algorithms.
User and Entity Behavior Analytics Definition: User and Entity Behavior Analytics (UEBA) is a cybersecurity technology that focuses on detecting insider threats, targeted attacks, and financial fraud by analyzing user behavior and entity activity across an organization's network using machine learning algorithms.
User and Entity Behavior Analytics (UEBA) is a cybersecurity technology that focuses on the detection of insider threats, targeted attacks, and other advanced security threats by analyzing the behavior of users and entities within an organization's network. UEBA leverages machine learning, algorithms, and statistical analysis to establish a baseline of normal behavior for each user and entity, identifying deviations that may indicate potential security incidents. By monitoring patterns of activity and identifying anomalies, UEBA helps security teams detect and respond to suspicious behavior more effectively, reducing the risk of data breaches and cyberattacks.
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