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US Patent 11237930 Techniques and system for optimization driven by dynamic resilience

Patent 11237930 was granted and assigned to Capital One on February, 2022 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Capital One
Capital One
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Current Assignee
Capital One
Capital One
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
112379300
Patent Inventor Names
Eric Barnum0
Bhavik Gudka0
Date of Patent
February 1, 2022
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Patent Application Number
169316180
Date Filed
July 17, 2020
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Patent Citations
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US Patent 10326642 Intelligent monitoring and management of network devices
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US Patent 10346454 System and method for automated multi-dimensional network management
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US Patent 10354208 System and method for defining run books
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US Patent 10373090 User-defined workflows in app-based collaborative workspace system
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US Patent 10389769 Integrated real time collaboration experiences with online workspace
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US Patent 10498605 Cloud based systems and methods for determining and visualizing security risks of companies, users, and groups
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US Patent 10620948 Application system for multiuser creating and editing of applications
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US Patent 10165447 Network service plan design
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Patent Citations Received
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US Patent 11681595 Techniques and system for optimization driven by dynamic resilience
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Patent Primary Examiner
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Marc Duncan
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Patent abstract

Disclosed are hardware and techniques for testing computer processes in a network system by simulating computer process faults and identifying risk associated with correcting the simulated fault and identifying computer processes that may depend on the corrected computer process. The interdependent computer processes in a network may be determined by evaluating a risk matrix having a risk score and non-functional requirement score. An analysis of the risk score and non-functional requirement score accounts for interdependencies between computer processes and identified corrective actions that may be used to determine an optimal network environment. The optimal network environment may be updated dynamically based on changing computer process interdependencies and the determined risk and robustness scores.

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