公开(公告)号：US11853453B1

公开(公告)日：2023-12-26

申请号：US16365891

申请日：2019-03-27

Applicant: Intuit Inc.

Inventor： Ariel Simhon ,  Liron Hayman ,  Gabriel Goldman ,  Yaron Moshe

IPC: G06F21/62 ,  G06F16/245 ,  G06F16/28

CPC classification number: G06F21/6245 ,  G06F16/245 ,  G06F16/285

Abstract: A processor may receive clear text data. The processor may represent at least a portion of the clear text data as at least one array encoding a description of at least one feature of the clear text data. The processor may process the at least one array using a clustering algorithm to determine whether the at least one array is grouped with a benign cluster or a sensitive cluster of a model. In response to determining that the at least one array is grouped with the sensitive cluster, the processor may generate an alert indicating that the clear text data includes sensitive information.

公开(公告)号：US12229777B1

公开(公告)日：2025-02-18

申请号：US16290186

申请日：2019-03-01

Applicant: Intuit Inc.

Inventor： Liron Hayman ,  Uri Lapidot ,  Gabriel Goldman ,  Yaron Moshe

IPC: G06Q20/40 ,  G06F18/243 ,  G06F21/52 ,  G06N20/00

Abstract: A method for detecting fraudulent financial transactions in information technology networks involves obtaining a multitude of features associated with a financial transaction conducted over an information technology network by an unknown transaction party. The multitude of features includes clickstream data obtained from the unknown transaction party. The clickstream data is associated with data of the financial transaction being entered by the unknown transaction party. The method further involves obtaining a first fraud indicator using a machine learning classifier operating on the multitude of features, obtaining a second fraud indicator using a rule-based classifier operating on the multitude of features, obtaining a fraud prediction for the financial transaction, using the first fraud indicator and the second fraud indicator, and taking an action, in response to the fraud prediction.