Sift Science, Inc.

Irving Chen

Wei Liu

Nicholas Benavides

Kostyantyn Gurnov

Yanqing Bao

Chloe Chi

Volha Leusha

Logan Davis

Shahar Ronen

Louie Zhang

Andy Cai

Mark Lunney

A method for machine learning-based detection of an automated fraud or abuse attack includes: identifying, via a computer network, a digital event associated with a suspected automated fraud or abuse attack; composing, via one or more computers, a digital activity signature of the suspected automated fraud or abuse attack based on digital activity associated with the suspected automated fraud or abuse attack; computing, via a machine learning model, an encoded representation of the digital activity signature; searching, via the one or more computers, an automated fraud or abuse signature registry based on the encoded representation of the digital activity signature; determining a likely origin of the digital event based on the searching of the automated fraud or abuse signature registry; and selectively implementing one or more automated threat mitigation actions based on the likely origin of the digital event.

Systems and methods for machine learning-based detection of an automated fraud attack or an automated abuse attack

A system and method for a machine learning-based score driven automated verification of a target event includes: receiving a threat verification request; extracting a corpus of threat features; predicting the machine learning-based threat score; evaluating the machine learning-based threat score against distinct stages of an automated disposal decisioning workflow; computing the activity disposal decision, wherein the activity disposal decision informs an action to allow or to disallow the target online activity; receiving the machine learning-based threat score as input into an automated verification workflow; computing whether an automated verification of the target online activity is required or not based on an evaluation of the machine learning-based threat score against distinct verification decisioning criteria of the automated verification workflow; automatically executing the automated verification of the target online activity and exposing results of the automated verification to the subscriber for allowing or for disallowing the target online activity.

Multi-factor authentication augmented workflow

Systems and methods for machine-learning based digital threat assessment with integrated activity verification

Growing community of inventors

San Francisco, CA, United States of America

Irving Chen