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US Patent 10419466 Cyber security using a model of normal behavior for a group of entities

Patent 10419466 was granted and assigned to Darktrace on September, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Applicant
Darktrace
Darktrace
0
Current Assignee
Darktrace
Darktrace
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
104194660
Patent Inventor Names
Maha Kadirkamanathan0
Matt Ferguson0
Date of Patent
September 17, 2019
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Patent Application Number
154259030
Date Filed
February 6, 2017
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Patent Citations Received
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US Patent 12126636 Anomaly alert system for cyber threat detection
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US Patent 11477222 Cyber threat defense system protecting email networks with machine learning models using a range of metadata from observed email communications
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US Patent 11997113 Treating data flows differently based on level of interest
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US Patent 12026204 Automatic incident dispatcher
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US Patent 12063243 Autonomous email report generator
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US Patent 12069073 Cyber threat defense system and method
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US Patent 11463457 Artificial intelligence (AI) based cyber threat analyst to support a cyber security appliance
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US Patent 10812500 Method of cyberthreat detection by learning first-order rules on large-scale social media
...
Patent Primary Examiner
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Michael Simitoski
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Patent abstract

Disclosed herein is a method for use in detection of abnormal behavior of a group of a plurality of entities of a computer system. The method is arranged to be performed by a processing system and comprises: creating a model of normal behavior of the group of entities; and determining, in accordance with the model of normal behavior of the group of entities, a parameter indicative of abnormal behavior of the group of entities. Also disclosed is an equivalent computer readable medium and anomalous behavior detection system.

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