公开(公告)号：US20220070292A1

公开(公告)日：2022-03-03

申请号：US17201849

申请日：2021-03-15

Applicant: PINDROP SECURITY, INC.

Inventor： Ricardo CASAL ,  Theo WALKER ,  Kailash PATIL ,  John CORNWELL

IPC: H04M3/22 ,  G06K9/62 ,  G06N20/00

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.

公开(公告)号：US20230254403A1

公开(公告)日：2023-08-10

申请号：US18301897

申请日：2023-04-17

Applicant: PINDROP SECURITY, INC.

Inventor： Ricardo CASAL ,  Theo WALKER ,  Kailash PATIL ,  John CORNWELL

IPC: H04M3/22 ,  G06N20/00 ,  G06F18/214

CPC classification number: H04M3/2281 ,  G06N20/00 ,  G06F18/214 ,  H04M2203/551 ,  H04M2203/556

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.