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US Patent 10091180 Behavioral profiling method and system to authenticate a user

Patent 10091180 was granted and assigned to USAA on October, 2018 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
USAA
USAA
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Current Assignee
USAA
USAA
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
100911800
Patent Inventor Names
Jonathan Edward Neuse0
Thomas Bret Buckingham0
Debra R. Casillas0
Gabriel Carlos Fernandez0
Joseph James Albert Campbell0
Karen M. Moritz0
Maland Keith Mortensen0
Sara Teresa Alonzo0
...
Date of Patent
October 2, 2018
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Patent Application Number
153492260
Date Filed
November 11, 2016
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Patent Citations Received
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US Patent 11349873 User model-based data loss prevention
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US Patent 11470102 Anomalous network monitoring, user behavior detection and database system
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US Patent 11475451 Biometric authentication for, and secure electronic tracking of, restricted over-the-counter drug sales
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US Patent 10997295 Adaptive trust profile reference architecture
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US Patent 10999296 Generating adaptive trust profiles using information derived from similarly situated organizations
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US Patent 10999297 Using expected behavior of an entity when prepopulating an adaptive trust profile
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US Patent 11651096 Systems and methods for accessing digital assets in a blockchain using global consent contracts
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US Patent 11698953 Biometric fraud detection system and method
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Patent Primary Examiner
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Chau Le
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Patent abstract

Methods and systems for behavioral profiling, and in particular, utilizing crowd-managed data architectures to store and manage that profile, are described. In some embodiments, a method includes observing behavioral characteristics of user interactions during a current session with the user through one of a plurality of channels. Variations between the behavioral characteristics of the user interactions observed during the current session and a behavioral profile previously developed based on prior usage patterns of the user through the plurality of channels are identified, in real-time or near real-time.

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