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US Patent 12015604 System for secured electronic data access through machine-learning based analysis of combined access authorizations

Patent 12015604 was granted and assigned to Bank of America on June, 2024 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
Bank of America
Bank of America
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Current Assignee
Bank of America
Bank of America
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
120156040
Patent Inventor Names
Brandon Sloane0
James Thomas MacAulay0
Date of Patent
June 18, 2024
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Patent Application Number
177250170
Date Filed
April 20, 2022
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Patent Citations
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US Patent 10270592 Systems and methods for encryption and provision of information security using platform services
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US Patent 10454934 Activity based access control in heterogeneous environments
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US Patent 10726491 Parameter-based computer evaluation of user accounts based on user account data stored in one or more databases
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US Patent 10839020 Multi-source user generated electronic data integration in a blockchain-based transactional system
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US Patent 10963786 Establishing a trained machine learning classifier in a blockchain network
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US Patent 10984913 Blockchain system for natural language processing
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US Patent 11030341 Systems and methods for enforcing privacy-respectful, trusted communications
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US Patent 11165800 Cloud based security monitoring using unsupervised pattern recognition and deep learning
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...
Patent Primary Examiner
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Hee K Song
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CPC Code
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H04L 41/16
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H04L 63/0428
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H04L 63/083
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Patent abstract

A system is provided for secured electronic data access through machine-learning based analysis of combined access authorizations. In particular, the system may maintain an access provisioning database which stores data regarding the data access authorizations that have been granted to one or more third party computing systems or entities. The system may further continuously monitor and aggregate electronic data from one or more electronic data streams and analyze the electronic data to intelligently generate probabilities for future events that create certain combinations of access authorizations that affect the security of the electronic data to which the third party computing systems have authorized access. In this way, the system may provide an effective way to manage access authorizations.

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