Patents by Inventor Amaruvi Devanathan

Amaruvi Devanathan 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: 12293003
    Abstract: Methods and systems herein identify and redact personally identifiable information. A PII sensitivity detection framework includes multiple layers where each layer corresponds to a computer model. The framework analyzes data stored within different data tables and predicts whether a data column includes PII. The first layer corresponds to an artificial intelligence model that analyzes each column metadata and predicts a first score indicative of a likelihood of PII. The second layer corresponds to a rule-based computer model that uses various rules to determine a second score indicative of a likelihood of PII for each column. The third layer corresponds to a column content model that analyzes content of each column using various natural language processing techniques to generate a third score indicative of a likelihood of PII. The framework masks data being presented to a user based on the scores generated via execution of one or more of the layers.
    Type: Grant
    Filed: May 3, 2024
    Date of Patent: May 6, 2025
    Assignee: CITIBANK, N.A.
    Inventors: Shubhanshu Gupta, Ashish Awasthi, Amaruvi Devanathan, Mallapu Raghavulu Surya Prakash
  • Publication number: 20240289492
    Abstract: Methods and systems herein identify and redact personally identifiable information. A PII sensitivity detection framework includes multiple layers where each layer corresponds to a computer model. The framework analyzes data stored within different data tables and predicts whether a data column includes PII. The first layer corresponds to an artificial intelligence model that analyzes each column metadata and predicts a first score indicative of a likelihood of PII. The second layer corresponds to a rule-based computer model that uses various rules to determine a second score indicative of a likelihood of PII for each column. The third layer corresponds to a column content model that analyzes content of each column using various natural language processing techniques to generate a third score indicative of a likelihood of PII. The framework masks data being presented to a user based on the scores generated via execution of one or more of the layers.
    Type: Application
    Filed: May 3, 2024
    Publication date: August 29, 2024
    Applicant: Citibank, N.A.
    Inventors: Shubhanshu Gupta, Ashish Awasthi, Amaruvi Devanathan, Mallapu Raghavulu Surya Prakash
  • Patent number: 11977660
    Abstract: Methods and systems identify and redact PII. A PII sensitivity detection framework includes multiple layers where each layer corresponds to a model. The framework analyzes data stored within different data tables and predicts whether a data column includes PII. The first layer corresponds to an AI model that analyzes each column metadata and predicts a first score indicative of a first likelihood of PII existence. The second layer corresponds to a rule-based model that uses various rules to determine a second score indicative of a second likelihood of PII existence for each column. The third layer corresponds to a column content model that analyzes content of each column using various natural language processing techniques to generate a third score indicative of a third likelihood of PII existence. The framework masks data presented to a user based on the scores generated via execution of one or more of the layers.
    Type: Grant
    Filed: September 15, 2021
    Date of Patent: May 7, 2024
    Assignee: CITIBANK, N.A.
    Inventors: Shubhanshu Gupta, Ashish Awasthi, Amaruvi Devanathan, Mallapu Raghavulu Surya Prakash
  • Publication number: 20230080686
    Abstract: Described herein are methods and systems to identify and redact personally identifiable information (PII). A PII sensitivity detection framework includes multiple layers where each layer corresponds to a computer model. The disclosed framework analyzes data stored within different data tables and predicts whether a data column includes PII. The first layer corresponds to an artificial intelligence model that analyzes each column metadata and predicts a first score indicative of a first likelihood of PII existence. The second layer corresponds to a rule-based computer model that uses various rules to determine a second score indicative of a second likelihood of PII existence for each column. The third layer corresponds to a column content model that analyzes content of each column using various natural language processing techniques to generate a third score indicative of a third likelihood of PII existence.
    Type: Application
    Filed: September 15, 2021
    Publication date: March 16, 2023
    Applicant: CITICORP CREDIT SERVICES, INC. (USA)
    Inventors: Shubhanshu Gupta, Ashish Awasthi, Amaruvi Devanathan, Mallapu Raghavulu Surya Prakash