Invention Grant
- Patent Title: System and methods for dynamic digital threat mitigation
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Application No.: US16380050Application Date: 2019-04-10
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Publication No.: US10402828B2Publication Date: 2019-09-03
- Inventor: Fred Sadaghiani , Alex Paino , Jacob Burnim , Keren Gu , Gary Lee , Noah Grant , Eugenia Ho , Doug Beeferman
- Applicant: Sift Science, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Sift Science, Inc.
- Current Assignee: Sift Science, Inc.
- Current Assignee Address: US CA San Francisco
- Agent Jeffrey Schox; Padowithz Alce
- Main IPC: H04L29/06
- IPC: H04L29/06 ; G06Q20/40 ; G06F16/28 ; G06N20/00 ; G06F21/50

Abstract:
Systems and methods include: implementing a first machine learning model to generate an output of a global digital threat score for an online activity based on an input of the collected digital event data; implementing a second machine learning model that generates a category inference of a category of digital fraud or a category of digital abuse from a plurality of digital fraud or digital abuse categories; selecting a third machine learning model from an ensemble of digital fraud or digital abuse machine learning models based on the category inference generated by the second machine learning model, wherein the ensemble of digital fraud or digital abuse machine learning models comprise a plurality of disparate digital fraud or digital abuse category-specific machine learning models; and implementing the selected third machine learning model to generate a digital fraud or digital abuse category-specific threat score based on the digital event data.
Public/Granted literature
- US20190236610A1 SYSTEM AND METHODS FOR DYNAMIC DIGITAL THREAT MITIGATION Public/Granted day:2019-08-01
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