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US Patent 10325271 Fraud detection and analysis

Patent 10325271 was granted and assigned to Guardian Analytics on June, 2019 by the United States Patent and Trademark Office.

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Patent
Patent
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Patent attributes

Patent Applicant
Guardian Analytics
Guardian Analytics
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Current Assignee
Guardian Analytics
Guardian Analytics
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
103252710
Patent Inventor Names
Tom Miltonberger0
Date of Patent
June 18, 2019
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Patent Application Number
145128280
Date Filed
October 13, 2014
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Patent Primary Examiner
‌
Alan Chen
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Patent abstract

Systems and methods generate a risk score for an account event. The systems and methods automatically generate a causal model corresponding to a user, wherein the model estimates components of the causal model using event parameters of a previous event undertaken by the user in an account of the user. The systems and methods predict expected behavior of the user during a next event in the account using the causal model. Predicting the expected behavior of the user includes generating expected event parameters of the next event. The systems and methods use a predictive fraud model to generate fraud event parameters. Generation of the fraud event parameters assumes a fraudster is conducting the next event, wherein the fraudster is any person other than the user. The systems and methods generate a risk score of the next event to indicate the relative likelihood the future event is performed by the user.

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