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US Patent 11429713 Artificial intelligence modeling for cyber-attack simulation protocols

Patent 11429713 was granted and assigned to Architecture Technology Corporation on August, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Architecture Technology Corporation
Architecture Technology Corporation
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Current Assignee
Architecture Technology Corporation
Architecture Technology Corporation
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
114297130
Patent Inventor Names
Robert Joyce0
Paul Nicotera0
Matthew Donovan0
Judson Powers0
Dahyun Hollister0
Date of Patent
August 30, 2022
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Patent Application Number
162568100
Date Filed
January 24, 2019
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Patent Citations
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US Patent 10749890 Systems and methods for improving the ranking and prioritization of attack-related events
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US Patent 10079850 Systems and methods for provisioning cyber security simulation exercises
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US Patent 10083624 Real-time monitoring of network-based training exercises
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US Patent 10291634 System and method for determining summary events of an attack
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US Patent 10291638 Cloud activity threat detection for sparse and limited user behavior data
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US Patent 10469519 Systems and methods for performing of creating simulated phishing attacks and phishing attack campaigns
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US Patent 10540502 Software assurance for heterogeneous distributed computing systems
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US Patent 10558809 Software assurance system for runtime environments
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Patent Citations Received
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US Patent 11790081 Systems and methods for controlling an industrial asset in the presence of a cyber-attack
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US Patent 11914719 Systems and methods for cyberthreat-risk education and awareness
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US Patent 11928212 Generating simulated spear phishing messages and customized cybersecurity training modules using machine learning
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US Patent 12120143 Monitoring and preventing remote user automated cyber attacks
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Patent Primary Examiner
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Khang Do
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CPC Code
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G06F 21/53
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G06F 21/55
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G06F 21/552
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G06N 3/02
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G06N 3/04
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H04L 63/14
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H04L 63/1458
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H04L 63/1441
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The methods and systems disclosed herein generally relate to automated execution and evaluation of computer network training exercises, such as in a virtual environment. A server generates a training system having a virtual attack machine and a virtual target machine where the virtual target machine is operatively controlled by a trainee computer. The server then executes a simulated cyber-attack and monitors/collects actions and responses by the trainee. The server then executes an artificial intelligence model to evaluate the trainee's action and to identify a subsequent simulated cyber-attack (e.g., a next step to the simulated cyber-attack). The server may then train the artificial intelligence model using various machine-learning techniques using the collected data during the exercise.

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