Patents by Inventor Finbarr Tarrant

Finbarr Tarrant 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).

  • Systems and methods for triaging software vulnerabilities
    Patent number: 11861013
    Abstract: Systems and methods are provided for the classification of identified security vulnerabilities in software applications, and their triage based on automated decision-tree triage and/or machine learning. The disclosed system may generate a report listing detected potential vulnerability issues, and automatically determine whether the potential vulnerability issues are exploitable using automated triage policies containing decision trees or by extracting vulnerability features from the report and processing the extracted vulnerability features using machine learning models.
    Type: Grant
    Filed: September 28, 2020
    Date of Patent: January 2, 2024
    Assignee: Accenture Global Solutions Limited
    Inventors: Finbarr Tarrant, Gopal Kavanadala Sridhar, Jee Hyub Kim, Navdeep Sharma, Eanna Mulrooney, Anton Plotnikov, Karel Kohout, Mário Lauande Lacroix, Richard Levine, Johnny Obando
  • Systems and methods for triaging software vulnerabilities
    Patent number: 11568057
    Abstract: Systems and methods are provided for the classification of identified security vulnerabilities in software applications, and their automated triage based on machine learning. The disclosed system may generate a report listing detected potential vulnerability issues, and extract features from the report for each potential vulnerability issue. The system may receive policy data and business rules, and compare the extracted features relative to such data and rules. The system may determine a token based on the source code of a potential vulnerability issue, and a vector based on the extracted features of a potential vulnerability issue and based on the token. The system may select a machine learning modelling method and/or an automated triaging method based on the vector, and determine a vulnerability accuracy score based on the vector using the selected method.
    Type: Grant
    Filed: February 4, 2020
    Date of Patent: January 31, 2023
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Sidath Handurukande, Finbarr Tarrant, David Glyn Darkin, Owen McGauley, Mehdi Sanoh, Karel Kohout, Richard Levine, Ganesh Devarajan
  • SYSTEMS AND METHODS FOR TRIAGING SOFTWARE VULNERABILITIES
    Publication number: 20220100868
    Abstract: Systems and methods are provided for the classification of identified security vulnerabilities in software applications, and their triage based on automated decision-tree triage and/or machine learning. The disclosed system may generate a report listing detected potential vulnerability issues, and automatically determine whether the potential vulnerability issues are exploitable using automated triage policies containing decision trees or by extracting vulnerability features from the report and processing the extracted vulnerability features using machine learning models.
    Type: Application
    Filed: September 28, 2020
    Publication date: March 31, 2022
    Inventors: Finbarr Tarrant, Gopal Kavanadala Sridhar, Jee Hyub Kim, Navdeep Sharma, Eanna Mulrooney, Anton Plotnikov, Karel Kohout, Mário Lauande Lacroix, Richard Levine, Johnny Obando
  • Systems and Methods For Triaging Software Vulnerabilities
    Publication number: 20210157926
    Abstract: Systems and methods are provided for the classification of identified security vulnerabilities in software applications, and their automated triage based on machine learning. The disclosed system may generate a report listing detected potential vulnerability issues, and extract features from the report for each potential vulnerability issue. The system may receive policy data and business rules, and compare the extracted features relative to such data and rules. The system may determine a token based on the source code of a potential vulnerability issue, and a vector based on the extracted features of a potential vulnerability issue and based on the token. The system may select a machine learning modelling method and/or an automated triaging method based on the vector, and determine a vulnerability accuracy score based on the vector using the selected method.
    Type: Application
    Filed: February 4, 2020
    Publication date: May 27, 2021
    Inventors: Sidath Handurukande, Finbarr Tarrant, David Glyn Darkin, Owen McGauley, Mehdi Sanoh, Karel Kohout, Richard Levine, Ganesh Devarajan