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US Patent 11991191 Detecting a missing security alert using a machine learning model

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119911910
Patent Inventor Names
Mathias A. M. Scherman0
Roy Levin0
Date of Patent
May 21, 2024
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Patent Application Number
177426880
Date Filed
May 12, 2022
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Patent Citations
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US Patent 10715679 System and method for detecting instances of missing data records in usage data records generated for wireless services
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US Patent 10091229 Systems and methods of network security and threat management
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US Patent 10104102 Analytic-based security with learning adaptability
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US Patent 8418249 Class discovery for automated discovery, attribution, analysis, and risk assessment of security threats
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US Patent 9654485 Analytics-based security monitoring system and method
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US Patent 9800605 Risk scoring for threat assessment
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Patent Primary Examiner
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Badri Narayanan Champakesan
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CPC Code
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H04L 63/1466
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H04L 63/1425
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G06F 21/552
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H04L 63/1416
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Patent abstract

Methods, systems, and apparatuses are provided for detecting a missing security alert by receiving an alert sequence generated by a network security provider, applying the received alert sequence to a security incident model, receiving an indication from the security incident model that the received alert sequence corresponds to a security incident defined by a predetermined sequence of alerts that includes at least one alert missing from the received alert sequence, and generating a notification to the network security provider that indicates at least one of the security incident or the missing alert(s). In addition, the security incident model may be generated by providing a set of historical alerts and a set of historical security incidents to a machine learning algorithm to generate the security incident model.

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