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US Patent 10404729 Device, method, and system of generating fraud-alerts for cyber-attacks

Patent 10404729 was granted and assigned to BioCatch on September, 2019 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
BioCatch
BioCatch
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Current Assignee
BioCatch
BioCatch
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
104047290
Patent Inventor Names
Avi Turgeman0
Date of Patent
September 3, 2019
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Patent Application Number
153691060
Date Filed
December 5, 2016
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Patent Citations Received
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US Patent 11481710 Privacy management systems and methods
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US Patent 11488085 Questionnaire response automation for compliance management
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US Patent 11494515 Data processing systems and methods for anonymizing data samples in classification analysis
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US Patent 11520928 Data processing systems for generating personal data receipts and related methods
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US Patent 12095788 System and method for behavioural biometric authentication using program modelling
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US Patent 11461722 Questionnaire response automation for compliance management
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US Patent 11468386 Data processing systems and methods for bundled privacy policies
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US Patent 11468196 Data processing systems for validating authorization for personal data collection, storage, and processing
...
Patent Primary Examiner
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Jason K Gee
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Patent abstract

Devices, systems, and methods of detecting user identity, differentiating between users of a computerized service, and detecting a cyber-attacker. An end-user device (a desktop computer, a laptop computer, a smartphone, a tablet, or the like) interacts and communicates with a server of a computerized server (a banking website, an electronic commerce website, or the like). The interactions are monitored, tracked and logged. User Interface (UI) interferences are intentionally introduced to the communication session; and the server tracks the response or the reaction of the end-user to such communication interferences. The system determines whether the user is a legitimate human user; or a cyber-attacker posing as the legitimate human user. The system displays gauges indicating cyber fraud scores or cyber-attack threat-levels. The system extrapolates from observed fraud incidents and utilizes a rules engine to automatically search for similar fraud events and to automatically detect fraud events or cyber-attackers.

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