Patents by Inventor Nagabhushana Angadi

Nagabhushana Angadi 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).

  • Methods and systems for API deception environment and API traffic control and security
    Patent number: 11924170
    Abstract: The present invention relates to the field of networking and API/application security. In particular, the invention is directed towards methods, systems and computer program products for Application Programming Interface (API) based flow control and API based security at the application layer of the networking protocol stack. The invention additionally provides an API deception environment to protect a server backend from threats, attacks and unauthorized access.
    Type: Grant
    Filed: July 14, 2021
    Date of Patent: March 5, 2024
    Assignee: Ping Identity Corporation
    Inventors: Udayakumar Subbarayan, Bernard Harguindeguy, Anoop Krishnan Gopalakrishnan, Nagabhushana Angadi, Ashwani Kumar, Santosh Sahu, Abdu Raheem Poonthiruthi, Avinash Kumar Sahu, Yasar Kundottil
  • Methods and systems for deep learning based API traffic security
    Patent number: 11855968
    Abstract: The present invention relates to the field of networking and API/application security. In particular, the invention is directed towards methods, systems and computer program products for deep learning based API traffic analysis and network security. The invention provides an automated approach to threat and/or attack detection by machine learning based accumulation and/or interpretation of various API/application traffic patterns, identifying and mapping characteristics of normal traffic for each API, and thereafter identifying any deviations from the normal traffic parameter baselines, which deviations may be classified as anomalies or attacks.
    Type: Grant
    Filed: August 4, 2022
    Date of Patent: December 26, 2023
    Assignee: Ping Identity Corporation
    Inventors: Udayakumar Subbarayan, Bernard Harguindeguy, Anoop Krishnan Gopalakrishnan, Nagabhushana Angadi, Ashwani Kumar, Santosh Sahu, Abdu Raheem Poonthiruthi, Avinash Kumar Sahu, Yasar Kundottil
  • METHODS AND SYSTEMS FOR DEEP LEARNING BASED API TRAFFIC SECURITY
    Publication number: 20230061142
    Abstract: The present invention relates to the field of networking and API/application security. In particular, the invention is directed towards methods, systems and computer program products for deep learning based API traffic analysis and network security. The invention provides an automated approach to threat and/or attack detection by machine learning based accumulation and/or interpretation of various API/application traffic patterns, identifying and mapping characteristics of normal traffic for each API, and thereafter identifying any deviations from the normal traffic parameter baselines, which deviations may be classified as anomalies or attacks.
    Type: Application
    Filed: August 4, 2022
    Publication date: March 2, 2023
    Applicant: Ping Identity Corporation
    Inventors: Udayakumar SUBBARAYAN, Bernard HARGUINDEGUY, Anoop Krishnan GOPALAKRISHNAN, Nagabhushana ANGADI, Ashwani KUMAR, Santosh SAHU, Abdu POONTHIRUTHI, Avinash Kumar SAHU, Yasar KUNDOTTIL
  • Methods and systems for deep learning based API traffic security
    Patent number: 11411923
    Abstract: The present invention relates to the field of networking and API/application security. In particular, the invention is directed towards methods, systems and computer program products for deep learning based API traffic analysis and network security. The invention provides an automated approach to threat and/or attack detection by machine learning based accumulation and/or interpretation of various API/application traffic patterns, identifying and mapping characteristics of normal traffic for each API, and thereafter identifying any deviations from the normal traffic parameter baselines, which deviations may be classified as anomalies or attacks.
    Type: Grant
    Filed: June 5, 2020
    Date of Patent: August 9, 2022
    Assignee: Ping Identity Corporation
    Inventors: Udayakumar Subbarayan, Bernard Harguindeguy, Anoop Krishnan Gopalakrishnan, Nagabhushana Angadi, Ashwani Kumar, Santosh Sahu, Abdu Raheem Poonthiruthi, Avinash Kumar Sahu, Yasar Kundottil
  • METHODS AND SYSTEMS FOR API DECEPTION ENVIRONMENT AND API TRAFFIC CONTROL AND SECURITY
    Publication number: 20220045990
    Abstract: The present invention relates to the field of networking and API/application security. In particular, the invention is directed towards methods, systems and computer program products for Application Programming Interface (API) based flow control and API based security at the application layer of the networking protocol stack. The invention additionally provides an API deception environment to protect a server backend from threats, attacks and unauthorized access.
    Type: Application
    Filed: July 14, 2021
    Publication date: February 10, 2022
    Applicant: Ping Identity Corporation
    Inventors: Udayakumar SUBBARAYAN, Bernard HARGUINDEGUY, Anoop Krishnan GOPALAKRISHNAN, Nagabhushana ANGADI, Ashwani KUMAR, Santosh SAHU, Abdu Raheem POONTHIRUTHI, Avinash Kumar SAHU, Yasar KUNDOTTIL
  • Methods and systems for API deception environment and API traffic control and security
    Patent number: 11075885
    Abstract: The present invention relates to the field of networking and API/application security. In particular, the invention is directed towards methods, systems and computer program products for Application Programming Interface (API) based flow control and API based security at the application layer of the networking protocol stack. The invention additionally provides an API deception environment to protect a server backend from threats, attacks and unauthorized access.
    Type: Grant
    Filed: February 11, 2020
    Date of Patent: July 27, 2021
    Assignee: Ping Identity Corporation
    Inventors: Udayakumar Subbarayan, Bernard Harguindeguy, Anoop Krishnan Gopalakrishnan, Nagabhushana Angadi, Ashwani Kumar, Santosh Sahu, Abdu Raheem Poonthiruthi, Avinash Kumar Sahu, Yasar Kundottil
  • METHODS AND SYSTEMS FOR DEEP LEARNING BASED API TRAFFIC SECURITY
    Publication number: 20200304470
    Abstract: The present invention relates to the field of networking and API/application security. In particular, the invention is directed towards methods, systems and computer program products for deep learning based API traffic analysis and network security. The invention provides an automated approach to threat and/or attack detection by machine learning based accumulation and/or interpretation of various API/application traffic patterns, identifying and mapping characteristics of normal traffic for each API, and thereafter identifying any deviations from the normal traffic parameter baselines, which deviations may be classified as anomalies or attacks.
    Type: Application
    Filed: June 5, 2020
    Publication date: September 24, 2020
    Applicant: Ping Identity Corporation
    Inventors: Udayakumar SUBBARAYAN, Bernard HARGUINDEGUY, Anoop Krishnan GOPALAKRISHNAN, Nagabhushana ANGADI, Ashwani KUMAR, Santosh SAHU, Abdu Raheem POONTHIRUTHI, Avinash Kumar SAHU, Yasar KUNDOTTIL
  • Methods and systems for deep learning based API traffic security
    Patent number: 10681012
    Abstract: The present invention relates to the field of networking and API/application security. In particular, the invention is directed towards methods, systems and computer program products for deep learning based API traffic analysis and network security. The invention provides an automated approach to threat and/or attack detection by machine learning based accumulation and/or interpretation of various API/application traffic patterns, identifying and mapping characteristics of normal traffic for each API, and thereafter identifying any deviations from the normal traffic parameter baselines, which deviations may be classified as anomalies or attacks.
    Type: Grant
    Filed: October 25, 2017
    Date of Patent: June 9, 2020
    Assignee: Ping Identity Corporation
    Inventors: Udayakumar Subbarayan, Bernard Harguindeguy, Anoop Krishnan Gopalakrishnan, Nagabhushana Angadi, Ashwani Kumar, Santosh Sahu, Abdu Raheem Poonthiruthi, Avinash Kumar Sahu, Yasar Kundottil
  • METHODS AND SYSTEMS FOR API DECEPTION ENVIRONMENT AND API TRAFFIC CONTROL AND SECURITY
    Publication number: 20200177556
    Abstract: The present invention relates to the field of networking and API/application security. In particular, the invention is directed towards methods, systems and computer program products for Application Programming Interface (API) based flow control and API based security at the application layer of the networking protocol stack. The invention additionally provides an API deception environment to protect a server backend from threats, attacks and unauthorized access.
    Type: Application
    Filed: February 11, 2020
    Publication date: June 4, 2020
    Applicant: Ping Identity Corporation
    Inventors: Udayakumar SUBBARAYAN, Bernard HARGUINDEGUY, Anoop Krishnan GOPALAKRISHNAN, Nagabhushana ANGADI, Ashwani KUMAR, Santosh SAHU, Abdu Raheem POONTHIRUTHI, Avinash Kumar SAHU, Yasar KUNDOTTIL
  • Methods and systems for API deception environment and API traffic control and security
    Patent number: 10587580
    Abstract: The present invention relates to the field of networking and API/application security. In particular, the invention is directed towards methods, systems and computer program products for Application Programming Interface (API) based flow control and API based security at the application layer of the networking protocol stack. The invention additionally provides an API deception environment to protect a server backend from threats, attacks and unauthorized access.
    Type: Grant
    Filed: October 25, 2017
    Date of Patent: March 10, 2020
    Assignee: Ping Identity Corporation
    Inventors: Udayakumar Subbarayan, Bernard Harguindeguy, Anoop Krishnan Gopalakrishnan, Nagabhushana Angadi, Ashwani Kumar, Santosh Sahu, Abdu Raheem Poonthiruthi, Avinash Kumar Sahu, Yasar Kundottil
  • METHODS AND SYSTEMS FOR DEEP LEARNING BASED API TRAFFIC SECURITY
    Publication number: 20180115578
    Abstract: The present invention relates to the field of networking and API/application security. In particular, the invention is directed towards methods, systems and computer program products for deep learning based API traffic analysis and network security. The invention provide an automated approach to threat and/or attack detection by machine learning based accumulation and/or interpretation of various API/application traffic patterns, identifying and mapping characteristics of normal traffic for each API, and thereafter identifying any deviations from the normal traffic parameter baselines, which deviations may be classified as anomalies or attacks.
    Type: Application
    Filed: October 25, 2017
    Publication date: April 26, 2018
    Inventors: Udayakumar Subbarayan, Bernard Harguindeguy, Anoop Krishnan Gopalakrishnan, Nagabhushana Angadi, Ashwani Kumar, Santosh Sahu, Abdu Raheem Poonthiruthi, Avinash Kumar Sahu, Yasar Kundottil
  • METHODS AND SYSTEMS FOR API DECEPTION ENVIRONMENT AND API TRAFFIC CONTROL AND SECURITY
    Publication number: 20180115523
    Abstract: The present invention relates to the field of networking and API/application security. In particular, the invention is directed towards methods, systems and computer program products for Application Programming Interface (API) based flow control and API based security at the application layer of the networking protocol stack. The invention additionally provides an API deception environment to protect a server backend from threats, attacks and unauthorized access.
    Type: Application
    Filed: October 25, 2017
    Publication date: April 26, 2018
    Inventors: Udayakumar Subbarayan, Bernard Harguindeguy, Anoop Krishnan Gopalakrishnan, Nagabhushana Angadi, Ashwani Kumar, Santosh Sahu, Abdu Raheem Poonthiruthi, Avinash Kumar Sahu, Yasar Kundottil