Patents by Inventor Matthew E. Noe

Matthew E. Noe 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: 11762833
    Abstract: Described herein is a system that processes personal data in databases. The system samples data stored in columns of data tables and analyzes the sampled data to determine whether the sampled data includes personal data. Based on the analysis, the system marks which data tables and which columns of the data tables store personal data. The system receives a request to process personal data for a subject. From data tables that are marked as storing personal data, the system identifies records storing personal data for the subject. The system additionally identifies other data tables marked as storing personal data that reference or are referenced by the data tables including the records referencing the subject. The system processes the data stored in the columns that are marked as storing personal data.
    Type: Grant
    Filed: March 28, 2022
    Date of Patent: September 19, 2023
    Assignee: Rubrik, Inc.
    Inventors: Di Wu, Matthew E. Noe, Biswaroop Palit
  • Publication number: 20220222236
    Abstract: Described herein is a system that processes personal data in databases. The system samples data stored in columns of data tables and analyzes the sampled data to determine whether the sampled data includes personal data. Based on the analysis, the system marks which data tables and which columns of the data tables store personal data. The system receives a request to process personal data for a subject. From data tables that are marked as storing personal data, the system identifies records storing personal data for the subject. The system additionally identifies other data tables marked as storing personal data that reference or are referenced by the data tables including the records referencing the subject. The system processes the data stored in the columns that are marked as storing personal data.
    Type: Application
    Filed: March 28, 2022
    Publication date: July 14, 2022
    Inventors: Di Wu, Matthew E. Noe, Biswaroop Palit
  • Patent number: 11314713
    Abstract: Described herein is a system that processes personal data in databases. The system samples data stored in columns of data tables and analyzes the sampled data to determine whether the sampled data includes personal data. Based on the analysis, the system marks which data tables and which columns of the data tables store personal data. The system receives a request to process personal data for a subject. From data tables that are marked as storing personal data, the system identifies records storing personal data for the subject. The system additionally identifies other data tables marked as storing personal data that reference or are referenced by the data tables including the records referencing the subject. The system processes the data stored in the columns that are marked as storing personal data.
    Type: Grant
    Filed: June 22, 2018
    Date of Patent: April 26, 2022
    Assignee: Rubrik, Inc.
    Inventors: Di Wu, Matthew E. Noe, Biswaroop Palit
  • Patent number: 11120131
    Abstract: Described herein is a system that detects ransomware infection in filesystems. The system detects ransomware infection by using backup data of machines. The system detects ransomware infection in two stages. In the first stage, the system analyzes a filesystem's behavior. The filesystem's behavior can be obtained by loading the backup data and crawling the filesystem to create a filesystem metadata including information about file operations during a time interval. The filesystem determines a pattern of the file operations and compares the pattern to a normal patter to analyze the filesystem's behavior. If the filesystem's behavior is abnormal, the system proceeds to the second stage to analyze the content of the files to look for signs of encryption in the filesystem. The system combines the analysis of both stages to determine whether the filesystem is infected by ransomware.
    Type: Grant
    Filed: July 30, 2018
    Date of Patent: September 14, 2021
    Assignee: RUBRIK, INC.
    Inventors: Oscar Chen, Di Wu, Benjamin Reisner, Matthew E. Noe
  • Publication number: 20200034537
    Abstract: Described herein is a system that detects ransomware infection in filesystems. The system detects ransomware infection by using backup data of machines. The system detects ransomware infection in two stages. In the first stage, the system analyzes a filesystem's behavior. The filesystem's behavior can be obtained by loading the backup data and crawling the filesystem to create a filesystem metadata including information about file operations during a time interval. The filesystem determines a pattern of the file operations and compares the pattern to a normal patter to analyze the filesystem's behavior. If the filesystem's behavior is abnormal, the system proceeds to the second stage to analyze the content of the files to look for signs of encryption in the filesystem. The system combines the analysis of both stages to determine whether the filesystem is infected by ransomware.
    Type: Application
    Filed: July 30, 2018
    Publication date: January 30, 2020
    Inventors: Oscar Chen, Di Wu, Benjamin Reisner, Matthew E. Noe
  • Publication number: 20190392059
    Abstract: Described herein is a system that processes personal data in databases. The system samples data stored in columns of data tables and analyzes the sampled data to determine whether the sampled data includes personal data. Based on the analysis, the system marks which data tables and which columns of the data tables store personal data. The system receives a request to process personal data for a subject. From data tables that are marked as storing personal data, the system identifies records storing personal data for the subject. The system additionally identifies other data tables marked as storing personal data that reference or are referenced by the data tables including the records referencing the subject. The system processes the data stored in the columns that are marked as storing personal data.
    Type: Application
    Filed: June 22, 2018
    Publication date: December 26, 2019
    Inventors: Di Wu, Matthew E. Noe, Biswaroop Palit