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US Patent 9602530 System and method for predicting impending cyber security events using multi channel behavioral analysis in a distributed computing environment

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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
96025300
Patent Inventor Names
Alonzo Ellis0
Tim McELwee0
Date of Patent
March 21, 2017
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Patent Application Number
146728690
Date Filed
March 30, 2015
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Patent Citations Received
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US Patent 12137123 Rapid predictive analysis of very large data sets using the distributed computational graph
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US Patent 12093383 Tracking malware root causes with an event graph
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US Patent 12095785 System and methods for detecting SAML forgery or manipulation attacks
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US Patent 12107895 Privilege assurance of enterprise computer network environments using attack path detection and prediction
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US Patent 12113831 Privilege assurance of enterprise computer network environments using lateral movement detection and prevention
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US Patent 12130923 Methods and apparatus for augmenting training data using large language models
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US Patent 11695791 System for extracting, classifying, and enriching cyber criminal communication data
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US Patent 11750631 System and method for comprehensive data loss prevention and compliance management
...
Patent Primary Examiner
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Mohammed Waliullah
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Patent abstract

Multi channel distributed behavioral analysis architecture provides a software solution to the major operational challenges faced with providing an early warning system for impending cyber security events. Most cyber security events are premeditated. However, many current cyber security defense technologies only address the real-time detection of a software vulnerability, the presence of malware (known or unknown “zero day”), anomalies from pre-established data points, or the signature of an active security event. The system and method of the multi channel distributed behavioral analysis architecture introduces a technique which provides the data collection, assessment, and alerting ability prior to the occurrence of an event based on threat actor behavior.

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