公开(公告)号：US20190342452A1

公开(公告)日：2019-11-07

申请号：US16515823

申请日：2019-07-18

Applicant: PINDROP SECURITY, INC.

Inventor： Scott STRONG ,  Kailash PATIL ,  David DEWEY ,  Raj BANDYOPADHYAY ,  Telvis CALHOUN ,  Vijay BALASUBRAMANIYAN

IPC: H04M3/527 ,  H04M15/00 ,  G06F21/55 ,  H04M3/493 ,  G06F21/32 ,  G06N20/00

Abstract: Systems and methods for call detail record (CDR) analysis to determine a risk score for a call and identify fraudulent activity and for fraud detection in Interactive Voice Response (IVR) systems. An example method may store information extracted from received calls. Queries of the stored information may be performed to select data using keys, wherein each key relates to one of the received calls, and wherein the queries are parallelized. The selected data may be transformed into feature vectors, wherein each feature vector relates to one of the received calls and includes a velocity feature and at least one of a behavior feature or a reputation feature. A risk score for the call may be generated during the call based on the feature vectors.

公开(公告)号：US20170111506A1

公开(公告)日：2017-04-20

申请号：US15294538

申请日：2016-10-14

Applicant: PINDROP SECURITY, INC.

Inventor： Scott STRONG ,  Kailash PATIL ,  David DEWEY ,  Raj BANDYOPADHYAY ,  Telvis CALHOUN ,  Vijay BALASUBRAMANIYAN

IPC: H04M3/527 ,  G06N99/00 ,  H04M15/00

CPC classification number: H04M3/527 ,  G06F21/32 ,  G06F21/552 ,  G06N99/005 ,  H04M3/493 ,  H04M7/0078 ,  H04M15/41 ,  H04M2203/551 ,  H04M2203/6027 ,  H04W12/12

Abstract: Systems and methods for call detail record (CDR) analysis to determine a risk score for a call and identify fraudulent activity and for fraud detection in Interactive Voice Response (IVR) systems. An example method may store information extracted from received calls. Queries of the stored information may be performed to select data using keys, wherein each key relates to one of the received calls, and wherein the queries are parallelized. The selected data may be transformed into feature vectors, wherein each feature vector relates to one of the received calls and includes a velocity feature and at least one of a behavior feature or a reputation feature. A risk score for the call may be generated during the call based on the feature vectors.

公开(公告)号：US20180152561A1

公开(公告)日：2018-05-31

申请号：US15880287

申请日：2018-01-25

Applicant: PINDROP SECURITY, INC.

Inventor： Scott STRONG ,  Kailash PATIL ,  David DEWEY ,  Raj BANDYOPADHYAY ,  Telvis CALHOUN ,  Vijay BALASUBRAMANIYAN

IPC: H04M3/527 ,  G06N99/00 ,  H04M15/00 ,  H04M7/00 ,  H04W12/12

CPC classification number: H04M3/527 ,  G06F21/32 ,  G06F21/552 ,  G06N20/00 ,  H04M3/493 ,  H04M7/0078 ,  H04M15/41 ,  H04M2203/551 ,  H04M2203/6027 ,  H04W12/12

Abstract: Systems and methods for call detail record (CDR) analysis to determine a risk score for a call and identify fraudulent activity and for fraud detection in Interactive Voice Response (IVR) systems. An example method may store information extracted from received calls. Queries of the stored information may be performed to select data using keys, wherein each key relates to one of the received calls, and wherein the queries are parallelized. The selected data may be transformed into feature vectors, wherein each feature vector relates to one of the received calls and includes a velocity feature and at least one of a behavior feature or a reputation feature. A risk score for the call may be generated during the call based on the feature vectors.

公开(公告)号：US20170111515A1

公开(公告)日：2017-04-20

申请号：US15294576

申请日：2016-10-14

Applicant: PINDROP SECURITY, INC.

Inventor： Raj BANDYOPADHYAY ,  Kailash PATIL ,  David DEWEY ,  Scott STRONG ,  Telvis CALHOUN ,  Vijay BALASUBRAMANIYAN

IPC: H04M15/00 ,  G06N99/00 ,  H04M3/527

CPC classification number: H04M3/527 ,  G06F21/32 ,  G06F21/552 ,  G06N99/005 ,  H04M3/493 ,  H04M7/0078 ,  H04M15/41 ,  H04M2203/551 ,  H04M2203/6027 ,  H04W12/12

Abstract: Systems and methods for call detail record (CDR) analysis to determine a risk score for a call and identify fraudulent activity and for fraud detection in Interactive Voice Response (IVR) systems. An example method may store information extracted from received calls. Queries of the stored information may be performed to select data using keys, wherein each key relates to one of the received calls, and wherein the queries are parallelized. The selected data may be transformed into feature vectors, wherein each feature vector relates to one of the received calls and includes a velocity feature and at least one of a behavior feature or a reputation feature. A risk score for the call may be generated during the call based on the feature vectors.