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Reviews for User and Entity Behavior Analytics

Reviews for User and Entity Behavior Analytics

User and entity behavior analytics offers profiling and anomaly detection based on a range of analytics approaches, usually using a combination of basic analytics methods (e.g., rules that leverage signatures, pattern matching and simple statistics) and advanced analytics (e.g., supervised and unsupervised machine learning). Vendors use packaged analytics to evaluate the activity of users and other entities (hosts, applications, network traffic and data repositories) to discover potential incidents commonly presented as activity that is anomalous to the standard profiles and behaviors of users and entities. Example of these activities include unusual access to systems and data by trusted insiders or third parties, and breaches by external attackers evading preventative security controls.

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