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US Patent 10542017 Systems and methods for personalizing security incident reports

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Contents

Is a
Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
105420171
Patent Inventor Names
Chris Gates1
Michael Hart1
Kevin Roundy1
Date of Patent
January 21, 2020
1
Patent Application Number
152928741
Date Filed
October 13, 2016
1
Patent Citations
‌
US Patent 10069849 Machine-generated traffic detection (beaconing)
Patent Citations Received
‌
US Patent 11271954 Generating a vector representative of user behavior in a network
‌
US Patent 11997140 Ordering security incidents using alert diversity
5
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US Patent 11665180 Artificially intelligent security incident and event management
6
Patent Primary Examiner
‌
Maung T Lwin
1
Patent abstract

The disclosed computer-implemented method for personalizing security incident reports may include (i) generating, within a training dataset, a feature vector for each of a group of security incidents, the feature vector including features that describe the security incidents and the features including response codes that a set of clients previously assigned to the security incidents as labels, (ii) training a supervised machine learning function on the training dataset using the response codes that the set of clients previously assigned to the security incidents, (iii) applying the supervised machine learning function to a feature vector that describes a new security incident on the set of clients to predict that the set of clients will ignore the new security incident, and (iv) personalizing a list of security incidents that is electronically reported to the set of clients by deprioritizing the new security incident. Other methods, systems, and computer-readable media are also disclosed.

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