Patents by Inventor Kailash PATIL

Kailash PATIL has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10362172
    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.
    Type: Grant
    Filed: January 25, 2018
    Date of Patent: July 23, 2019
    Assignee: Pindrop Security, Inc.
    Inventors: Scott Strong, Kailash Patil, David Dewey, Raj Bandyopadhyay, Telvis Calhoun, Vijay Balasubramaniyan
  • Publication number: 20180254046
    Abstract: An automated speaker verification (ASV) system incorporates a first deep neural network to extract deep acoustic features, such as deep CQCC features, from a received voice sample. The deep acoustic features are processed by a second deep neural network that classifies the deep acoustic features according to a determined likelihood of including a spoofing condition. A binary classifier then classifies the voice sample as being genuine or spoofed.
    Type: Application
    Filed: March 2, 2018
    Publication date: September 6, 2018
    Applicant: PINDROP SECURITY, INC.
    Inventors: Elie KHOURY, Parav NAGARSHETH, Kailash PATIL, Matthew GARLAND
  • Publication number: 20180152561
    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.
    Type: Application
    Filed: January 25, 2018
    Publication date: May 31, 2018
    Applicant: PINDROP SECURITY, INC.
    Inventors: Scott STRONG, Kailash PATIL, David DEWEY, Raj BANDYOPADHYAY, Telvis CALHOUN, Vijay BALASUBRAMANIYAN
  • Patent number: 9930186
    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.
    Type: Grant
    Filed: October 14, 2016
    Date of Patent: March 27, 2018
    Assignee: PINDROP SECURITY, INC.
    Inventors: Raj Bandyopadhyay, Kailash Patil, David Dewey, Scott Strong, Telvis Calhoun, Vijay Balasubramaniyan
  • Patent number: 9883040
    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.
    Type: Grant
    Filed: October 14, 2016
    Date of Patent: January 30, 2018
    Assignee: PINDROP SECURITY, INC.
    Inventors: Scott Strong, Kailash Patil, David Dewey, Raj Bandyopadhyay, Telvis Calhoun, Vijay Balasubramaniyan
  • Publication number: 20170111515
    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.
    Type: Application
    Filed: October 14, 2016
    Publication date: April 20, 2017
    Applicant: PINDROP SECURITY, INC.
    Inventors: Raj BANDYOPADHYAY, Kailash PATIL, David DEWEY, Scott STRONG, Telvis CALHOUN, Vijay BALASUBRAMANIYAN
  • Publication number: 20170111506
    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.
    Type: Application
    Filed: October 14, 2016
    Publication date: April 20, 2017
    Applicant: PINDROP SECURITY, INC.
    Inventors: Scott STRONG, Kailash PATIL, David DEWEY, Raj BANDYOPADHYAY, Telvis CALHOUN, Vijay BALASUBRAMANIYAN