Patents by Inventor Ita B LAMONT

Ita B LAMONT 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 AUTO DISCOVERY OF SENSITIVE DATA IN APPLICATIONS OR DATABASES USING METADATA VIA MACHINE LEARNING TECHNIQUES
    Publication number: 20240143820
    Abstract: A method for auto discovery of sensitive data may include: (1) receiving, at data enrichment computer program in a metadata processing pipeline, raw metadata from a plurality of different data sources; (2) enriching, by the data enrichment computer program, the raw metadata; (3) converting, by the data enrichment computer program, the raw metadata and the enhanced raw metadata into a sentence structure; (4) predicting, by a category prediction computer program in the metadata processing pipeline, a predicted category for the sentence structure; (5) identifying, by a sensitive data mapping computer program, a sensitive data category that is mapped to the predicted category based on a policy mapping rule; (6) determining, by the sensitive data mapping computer program, a risk classification rating for the predicted category; and (7) tagging, by the sensitive data mapping computer program, the data source associated with the metadata based on the risk classification rating.
    Type: Application
    Filed: November 15, 2023
    Publication date: May 2, 2024
    Inventors: Santosh CHIKOTI, Jeffrey KESSLER, Ita B LAMONT, Saurabh GUPTA
  • Systems and methods for auto discovery of sensitive data in applications or databases using metadata via machine learning techniques
    Patent number: 11899807
    Abstract: A method for auto discovery of sensitive data may include: (1) receiving, at data enrichment computer program in a metadata processing pipeline, raw metadata from a plurality of different data sources; (2) enriching, by the data enrichment computer program, the raw metadata; (3) converting, by the data enrichment computer program, the raw metadata and the enhanced raw metadata into a sentence structure; (4) predicting, by a category prediction computer program in the metadata processing pipeline, a predicted category for the sentence structure; (5) identifying, by a sensitive data mapping computer program, a sensitive data category that is mapped to the predicted category based on a policy mapping rule; (6) determining, by the sensitive data mapping computer program, a risk classification rating for the predicted category; and (7) tagging, by the sensitive data mapping computer program, the data source associated with the metadata based on the risk classification rating.
    Type: Grant
    Filed: August 31, 2021
    Date of Patent: February 13, 2024
    Assignee: JPMORGAN CHASE BANK, N.A.
    Inventors: Santosh Chikoti, Jeffrey Kessler, Ita B Lamont, Saurabh Gupta
  • SYSTEMS AND METHODS FOR AUTO DISCOVERY OF SENSITIVE DATA IN APPLICATIONS OR DATABASES USING METADATA VIA MACHINE LEARNING TECHNIQUES
    Publication number: 20220067185
    Abstract: A method for auto discovery of sensitive data may include: (1) receiving, at data enrichment computer program in a metadata processing pipeline, raw metadata from a plurality of different data sources; (2) enriching, by the data enrichment computer program, the raw metadata; (3) converting, by the data enrichment computer program, the raw metadata and the enhanced raw metadata into a sentence structure; (4) predicting, by a category prediction computer program in the metadata processing pipeline, a predicted category for the sentence structure; (5) identifying, by a sensitive data mapping computer program, a sensitive data category that is mapped to the predicted category based on a policy mapping rule; (6) determining, by the sensitive data mapping computer program, a risk classification rating for the predicted category; and (7) tagging, by the sensitive data mapping computer program, the data source associated with the metadata based on the risk classification rating.
    Type: Application
    Filed: August 31, 2021
    Publication date: March 3, 2022
    Inventors: Santosh CHIKOTI, Jeffrey KESSLER, Ita B LAMONT