Patents by Inventor Robert Falconer KEITH

Robert Falconer KEITH 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: 11868768
    Abstract: A method for facilitating identification of secrets in source code by using machine learning is provided. The method includes retrieving a plurality of files from a repository, each of the plurality of files including a source code file; parsing the source code file to identify a training feature; associating a predetermined label with the training feature, the predetermined label corresponding to a secret label and a non-secret label; training a model by using the training feature and the corresponding predetermined label; receiving, via a graphical user interface, a test file, the test file including a set of source codes; parsing the set of source codes to identify a feature; and determining, by using the model, a first characteristic of the feature.
    Type: Grant
    Filed: September 16, 2021
    Date of Patent: January 9, 2024
    Assignee: JPMORGAN CHASE BANK, N.A.
    Inventors: Sean Moran, Ahmad Emami, Fanny Silavong, Joachim Fainberg, Ashish Tiwari, Antonios Georgiadis, Bill Moriarty, Solomon Olaniyi Adebayo, Georgios Papadopoulos, Rohan Saphal, Robert Falconer Keith, Rob Otter, Stephen Hall
  • Publication number: 20230070420
    Abstract: A method for facilitating identification of secrets in source code by using machine learning is provided. The method includes retrieving a plurality of files from a repository, each of the plurality of files including a source code file; parsing the source code file to identify a training feature; associating a predetermined label with the training feature, the predetermined label corresponding to a secret label and a non-secret label; training a model by using the training feature and the corresponding predetermined label; receiving, via a graphical user interface, a test file, the test file including a set of source codes; parsing the set of source codes to identify a feature; and determining, by using the model, a first characteristic of the feature.
    Type: Application
    Filed: September 16, 2021
    Publication date: March 9, 2023
    Applicant: JPMorgan Chase Bank, N.A.
    Inventors: Sean MORAN, Ahmad EMAMI, Fanny SILAVONG, Joachim FAINBERG, Ashish TIWARI, Antonios GEORGIADIS, Bill MORIARTY, Solomon Olaniyi ADEBAYO, Georgios PAPADOPOULOS, Rohan SAPHAL, Robert Falconer KEITH, Rob OTTER, Stephen HALL
  • Patent number: 11106458
    Abstract: Systems and methods for distributed ledger-based software supply chain management are disclosed. According to one embodiment, in an information processing apparatus comprising at least one computer processor, a method for distributed ledger-based software supply chain management may include: (1) receiving, from a software tool, a metadata artifact for a software development lifecycle event; (2) writing the metadata artifact to a metadata store; and (3) updating a present state database with values for metadata keys referencing the metadata artifact in the metadata store.
    Type: Grant
    Filed: July 16, 2019
    Date of Patent: August 31, 2021
    Assignee: JPMORGAN CHASE BANK, N.A.
    Inventors: Duncan Adams, Alex Hayzelden, Vaidyalingam Ramalingam, Trevor Collins, Andrew J. Muller, Stephen Flaherty, Tanmay Madan, Robert Falconer Keith, Ashish Tiwari
  • Publication number: 20200026510
    Abstract: Systems and methods for distributed ledger-based software supply chain management are disclosed. According to one embodiment, in an information processing apparatus comprising at least one computer processor, a method for distributed ledger-based software supply chain management may include: (1) receiving, from a software tool, a metadata artifact for a software development lifecycle event; (2) writing the metadata artifact to a metadata store; and (3) updating a present state database with values for metadata keys referencing the metadata artifact in the metadata store.
    Type: Application
    Filed: July 16, 2019
    Publication date: January 23, 2020
    Inventors: Duncan ADAMS, Alex HAYZELDEN, Vaidyalingam RAMALINGAM, Trevor COLLINS, Andrew J. MULLER, Stephen FLAHERTY, Tanmay MADAN, Robert Falconer KEITH, Ashish TIWARI