SYSTEM AND METHODS FOR DIGITAL ACCOUNT THREAT DETECTION

Patent №

US 10,482,395

Granted

2019-11-19

Filed 2018

Owner

SIFT SCIENCE, INC.

Lab

AI components

4

ml · nlp · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16209297

Systems and methods include: collecting digital event data for the digital account; using a trained machine learning model to extract account takeover (ATO) risk features from the collected digital event data; evaluating the extracted ATO risk features of the collected digital event data of the digital account against a plurality of ATO risk heuristics; identifying one or more of the plurality of ATO risk heuristics that is triggered by the extracted ATO risk features, wherein one or more of the plurality of ATO risk heuristics may be triggered if at least a subset of the extracted ATO risk features matches requirements of the one or more ATO risk heuristics; and generating an ATO risk assessment for the digital account using the one or more triggered ATO risk heuristics.

Machine learningNatural languagePlanningAI hardwareG06N 20/00G06F 21/31G06F 21/552G06F 21/554G06F 21/577G06N 3/09G06N 5/01G06N 5/045+12 more

AI classification

Planning1.00
Machine learning0.99
Natural language0.94
AI hardware0.73
Knowledge representation0.24
Vision0.00
Evolutionary computation0.00
Speech0.00

Ownership

SIFT SCIENCE, INC.

assignment · 476700154

Assignors

SADAGHIANI, FRED, GU, KEREN, PAINO, ALEX, BURNIM, JACOB, SCHIAVONE, THOMAS

On an employer assignment, the assignors are typically the inventors.

From the same owner

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