- Patent Title: Systems and methods for generating a probationary automated-decisioning workflow in a machine learning-task oriented digital threat or digital abuse mitigation system
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Application No.: US18123158Application Date: 2023-03-17
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Publication No.: US11887126B2Publication Date: 2024-01-30
- Inventor: Pradhan Umesh , Natasha Sehgal , Chang Liu
- 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
- Agency: Alce PLLC
- Agent Padowithz Alce; Chandler Scheitlin
- Main IPC: G06Q20/40
- IPC: G06Q20/40 ; G06N20/00 ; G06Q20/38

Abstract:
A machine learning-based method for accelerating a generation of automated fraud or abuse detection workflows in a digital threat mitigation platform includes identifying a plurality of distinct digital event features indicative of digital fraud; automatically deriving a plurality of distinct digital event decisioning criteria based on the plurality of distinct digital event features and a digital event data corpus associated with a target subscriber; automatically constructing a probationary automated fraud or abuse detection workflow based on the plurality of distinct digital event decisioning criteria, and deploying the probationary automated fraud or abuse detection workflow to a target digital fraud prevention environment associated with the target subscriber.
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