Detecting behavioral patterns and anomalies using activity data
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United States of America Patent
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Jan 31, 2017
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N/A
app pub date -
Apr 11, 2016
filing date -
Dec 29, 2005
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Abstract
Activity data is analyzed or evaluated to detect behavioral patterns and anomalies. When a particular pattern or anomaly is detected, a system may send a notification or perform a particular task. This activity data may be collected in an information management system, which may be policy based. Notification may be by way e-mail, report, pop-up message, or system message. Some tasks to perform upon detection may include implementing a policy in the information management system, disallowing a user from connecting to the system, and restricting a user from being allowed to perform certain actions. To detect a pattern, activity data may be compared to a previously defined or generated activity profile.
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