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US Patent 10181032 System and methods for digital account threat detection

Patent 10181032 was granted and assigned to Sift Science on January, 2019 by the United States Patent and Trademark Office.

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Is a
Patent
Patent

Patent attributes

Patent Applicant
Sift Science
Sift Science
Current Assignee
Sift Science
Sift Science
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10181032
Date of Patent
January 15, 2019
Patent Application Number
15842379
Date Filed
December 14, 2017
Patent Citations Received
0
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US Patent 11399045 Detecting fraudulent logins
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US Patent 11876823 Vulnerability profiling based on time series analysis of data streams
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US Patent 10341374 Systems and methods detecting and mitigating anomalous shifts in a machine learning model
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US Patent 10462172 Systems and methods detecting and mitigating anomalous shifts in a machine learning model
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US Patent 11544273 Constructing event distributions via a streaming scoring operation
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US Patent 10909326 Social content risk identification
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Patent Primary Examiner
‌
Christopher J Brown
Patent abstract

Systems and methods include: collecting digital event data for the digital account; using a trained machine learning model to extract account takeover (ATO) risk features from the collected digital event data; evaluating the extracted ATO risk features of the collected digital event data of the digital account against a plurality of ATO risk heuristics; identifying one or more of the plurality of ATO risk heuristics that is triggered by the extracted ATO risk features, wherein one or more of the plurality of ATO risk heuristics may be triggered if at least a subset of the extracted ATO risk features matches requirements of the one or more ATO risk heuristics; and generating an ATO risk assessment for the digital account using the one or more triggered ATO risk heuristics.

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