User and Entity Behavior Analytics (UEBA) is a cybersecurity approach that focuses on monitoring and analyzing human, application, and device-generated network activities to detect anomalies and potential security threats. This technology uses advanced analytics and machine learningWhat is Machine Learning?Machine learning is a subset of Artificial Intelligence (AI) that involves the development of algorithms and models that enable computers to make predictions or decisions based on… algorithms to identify deviations from standard behavior patterns, which may indicate malicious activities, insider threats, or other security risks.
UEBA collects and analyzes vast amounts of data, such as login attempts, file access, application usage, and device, system, and application activity. UEBA employs advanced analytics and machine learning algorithms to detect anomalies and patterns indicative of potential security threats or policy violations.
UEBA solutions consist of three key concepts:
Implementing UEBA into security programs brings about the following benefits:
User and Entity Behavior Analytics (UEBA) offers organizations a proactive approach to cybersecurity. By leveraging advanced analytics and machine learning algorithms, UEBA solutions provide valuable insights into security risks, enabling organizations to strengthen their security posture and protect against emerging threats.
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