Invention Grant
- Patent Title: Risk assessment through device data using machine learning-based network
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Application No.: US16886135Application Date: 2020-05-28
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Publication No.: US11625723B2Publication Date: 2023-04-11
- Inventor: Manickkam Pandian , Souradeep Sen , Ranjit K. Valasa , Suchita Shridhar Shirke , Sabarirajan Jeeva
- Applicant: PAYPAL, INC.
- Applicant Address: US CA San Jose
- Assignee: PAYPAL, INC.
- Current Assignee: PAYPAL, INC.
- Current Assignee Address: US CA San Jose
- Agency: Haynes and Boone, LLP
- Main IPC: G06Q20/40
- IPC: G06Q20/40 ; G06N20/00

Abstract:
There are provided systems and methods for a machine learning-based network trained to perform risk assessment through device data. A service provider server receives device data of a user device associated with a merchant account registered with a merchant server for a merchant service, and receives, from the merchant server, a request containing a unique token identifier for initiating a risk assessment operation to generate a device assessment score for the user device, where the device assessment score indicates a level of risk between the user device and the merchant account. The service provider server selects a risk assessment engine to perform the risk assessment operation and generates the device assessment score and a narrative for the device assessment score, and sends, to the merchant server through an application programming interface, a message containing a unique device identifier for the user device, the device assessment score and the narrative.
Public/Granted literature
- US20210374754A1 RISK ASSESSMENT THROUGH DEVICE DATA USING MACHINE LEARNING-BASED NETWORK Public/Granted day:2021-12-02
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