The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 25, 2024

Filed:

Apr. 17, 2023
Applicant:

Pindrop Security, Inc., Atlanta, GA (US);

Inventors:

Ricardo Casal, Atlanta, GA (US);

Theo Walker, Atlanta, GA (US);

Kailash Patil, Atlanta, GA (US);

John Cornwell, Atlanta, GA (US);

Assignee:

Pindrop Security, Inc., Atlanta, GA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04M 3/22 (2006.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06N 3/08 (2023.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); H04M 3/42 (2006.01); H04M 3/51 (2006.01);
U.S. Cl.
CPC ...
H04M 3/2281 (2013.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06N 3/08 (2013.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); H04M 3/42042 (2013.01); H04M 3/51 (2013.01); H04M 2203/551 (2013.01); H04M 2203/556 (2013.01); H04M 2203/6027 (2013.01);
Abstract

Embodiments described herein provide for performing a risk assessment using graph-derived features of a user interaction. A computer receives interaction information and infers information from the interaction based on information provided to the computer by a communication channel used in transmitting the interaction information. The computer may determine a claimed identity of the user associated with the user interaction. The computer may extract features from the inferred identity and claimed identity. The computer generates a graph representing the structural relationship between the communication channels and claimed identities associated with the inferred identity and claimed identity. The computer may extract additional features from the inferred identity and claimed identity using the graph. The computer may apply the features to a machine learning model to generate a risk score indicating the probability of a fraudulent interaction associated with the user interaction.


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