SYSTEM AND METHODS FOR DYNAMIC DIGITAL THREAT MITI

专利名称：SYSTEM AND METHODS FOR DYNAMIC

DIGITAL THREAT MITIGATION

发明人：Fred Sadaghiani,Alex Paino,Jacob

Burnim,Keren Gu,Gary Lee,NoahGrant,Eugenia Ho,Doug Beeferman

申请号：US16380050申请日：20190410

公开号：US20190236610A1公开日：20190801

专利附图：

摘要：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 aninput of the collected digital event data; implementing a second machine learning modelthat generates a category inference of a category of digital fraud or a category of digitalabuse from a plurality of digital fraud or digital abuse categories; selecting a thirdmachine learning model from an ensemble of digital fraud or digital abuse machinelearning models based on the category inference generated by the second machinelearning model, wherein the ensemble of digital fraud or digital abuse machine learningmodels comprise a plurality of disparate digital fraud or digital abuse category-specificmachine learning models; and implementing the selected third machine learning modelto generate a digital fraud or digital abuse category-specific threat score based on thedigital event data.

申请人：Sift Science, Inc.

地址：San Francisco CA US

国籍：US

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