公开(公告)号：US10362172B2

公开(公告)日：2019-07-23

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 ,  G06N20/00 ,  H04M15/00 ,  G06F21/32 ,  G06F21/55 ,  H04M3/493 ,  H04M7/00 ,  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：US09883040B2

公开(公告)日：2018-01-30

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 ,  H04M15/00 ,  G06N99/00 ,  H04M7/00 ,  H04W12/12

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：US20240355337A1

公开(公告)日：2024-10-24

申请号：US18388364

申请日：2023-11-09

Applicant: PINDROP SECURITY, INC.

Inventor： Umair Altaf ,  Sai Pradeep Peri ,  Lakshay Phatela ,  Payas Gupta ,  Yitao Sun ,  Svetlana Afanaseva ,  Kailash Patil ,  Elie Khoury ,  Bradley Magnetta ,  Vijay Balasubramaniyan ,  Tianxiang Chen

IPC: G10L17/24

CPC classification number: G10L17/24

Abstract: Disclosed are systems and methods including software processes executed by a server that detect audio-based synthetic speech (“deepfakes”) in a call conversation. The server applies an NLP engine to transcribe call audio and analyze the text for anomalous patterns to detect synthetic speech. Additionally or alternatively, the server executes a voice “liveness” detection system for detecting machine speech, such as synthetic speech or replayed speech. The system performs phrase repetition detection, background change detection, and passive voice liveness detection in call audio signals to detect liveness of a speech utterance. An automated model update module allows the liveness detection model to adapt to new types of presentation attacks, based on the human provided feedback.

公开(公告)号：US11748463B2

公开(公告)日：2023-09-05

申请号：US17157837

申请日：2021-01-25

Applicant: PINDROP SECURITY, INC.

Inventor： Scott Strong ,  Kailash Patil ,  David Dewey ,  Raj Bandyopadhyay ,  Telvis Calhoun ,  Vijay Balasubramaniyan

IPC: G06F21/32 ,  G06N20/00 ,  G06F21/55 ,  H04M3/493 ,  H04W12/128 ,  H04M3/527 ,  H04M15/00 ,  H04W12/12 ,  H04M7/00

CPC classification number: G06F21/32 ,  G06F21/552 ,  G06N20/00 ,  H04M3/493 ,  H04M3/527 ,  H04M15/41 ,  H04W12/12 ,  H04W12/128 ,  H04M7/0078 ,  H04M2203/551 ,  H04M2203/6027

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：US20210150010A1

公开(公告)日：2021-05-20

申请号：US17157837

申请日：2021-01-25

Applicant: PINDROP SECURITY, INC.

Inventor： Scott Strong ,  Kailash Patil ,  David Dewey ,  Raj Bandyopadhyay ,  Telvis Calhoun ,  Vijay Balasubramaniyan

IPC: G06F21/32 ,  G06N20/00 ,  G06F21/55 ,  H04M3/493 ,  H04W12/128 ,  H04M3/527 ,  H04M15/00 ,  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：US10902105B2

公开(公告)日：2021-01-26

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 ,  G06F21/32 ,  G06N20/00 ,  G06F21/55 ,  H04M3/493 ,  H04W12/12 ,  H04M15/00 ,  H04M7/00

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：US20240363103A1

公开(公告)日：2024-10-31

申请号：US18388412

申请日：2023-11-09

Applicant: Pindrop Security, Inc.

Inventor： Umair Altaf ,  Sai Pradeep Peri ,  Lakshay Phatela ,  Payas Gupta ,  Yitao Sun ,  Svetlana Afanaseva ,  Kailash Patil ,  Elie Khoury ,  Bradley Magnetta ,  Vijay Balasubramaniyan ,  Tianxiang Chen

IPC: G10L15/08

CPC classification number: G10L15/08

Abstract: Disclosed are systems and methods including software processes executed by a server that detect audio-based synthetic speech (“deepfakes”) in a call conversation. The server applies an NLP engine to transcribe call audio and analyze the text for anomalous patterns to detect synthetic speech. Additionally or alternatively, the server executes a voice “liveness” detection system for detecting machine speech, such as synthetic speech or replayed speech. The system performs phrase repetition detection, background change detection, and passive voice liveness detection in call audio signals to detect liveness of a speech utterance. An automated model update module allows the liveness detection model to adapt to new types of presentation attacks, based on the human provided feedback.

公开(公告)号：US20240355322A1

公开(公告)日：2024-10-24

申请号：US18388428

申请日：2023-11-09

Applicant: Pindrop Security, Inc.

Inventor： Umair Altaf ,  Sai Pradeep Peri ,  Lakshay Phatela ,  Payas Gupta ,  Yitao Sun ,  Svetlana Afanaseva ,  Kailash Patil ,  Elie Khoury ,  Bradley Magnetta ,  Vijay Balasubramaniyan ,  Tianxiang Chen

IPC: G10L15/08

CPC classification number: G10L15/08 ,  G06N20/00

Abstract: Disclosed are systems and methods including software processes executed by a server that detect audio-based synthetic speech (“deepfakes”) in a call conversation. The server applies an NLP engine to transcribe call audio and analyze the text for anomalous patterns to detect synthetic speech. Additionally or alternatively, the server executes a voice “liveness” detection system for detecting machine speech, such as synthetic speech or replayed speech. The system performs phrase repetition detection, background change detection, and passive voice liveness detection in call audio signals to detect liveness of a speech utterance. An automated model update module allows the liveness detection model to adapt to new types of presentation attacks, based on the human provided feedback.

公开(公告)号：US09930186B2

公开(公告)日：2018-03-27

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

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：US20240363099A1

公开(公告)日：2024-10-31

申请号：US18388466

申请日：2023-11-09

Applicant: PINDROP SECURITY, INC.

Inventor： Umair Altaf ,  Sai Pradeep Peri ,  Lakshay Phatela ,  Payas Gupta ,  Yitao Sun ,  Svetlana Afanaseva ,  Kailash Patil ,  Elie Khoury ,  Bradley Magnetta ,  Vijay Balasubramaniyan ,  Tianxiang Chen

IPC: G10L15/02 ,  G10L15/16

CPC classification number: G10L15/02 ,  G10L15/16

Abstract: Disclosed are systems and methods including software processes executed by a server that detect audio-based synthetic speech (“deepfakes”) in a call conversation. The server applies an NLP engine to transcribe call audio and analyze the text for anomalous patterns to detect synthetic speech. Additionally or alternatively, the server executes a voice “liveness” detection system for detecting machine speech, such as synthetic speech or replayed speech. The system performs phrase repetition detection, background change detection, and passive voice liveness detection in call audio signals to detect liveness of a speech utterance. An automated model update module allows the liveness detection model to adapt to new types of presentation attacks, based on the human provided feedback.