Patents by Inventor Lalith Kumar Dampanaboina

Lalith Kumar Dampanaboina 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).

  • Publication number: 20230007013
    Abstract: The present disclosure relates to methods and apparatus that collect data regarding malware threats, that organizes this collected malware threat data, and that provides this data to computers or people such that damage associated with these software threats can be quantified and reduced. The present disclosure is also directed to preventing the spread of malware before that malware can damage computers or steal computer data. Methods consistent with the present disclosure may optimize tests performed at different levels of a multi-level threat detection and prevention system. As such, methods consistent with the present disclosure may collect data from various sources that may include endpoint computing devices, firewalls/gateways, or isolated (e.g. “sandbox”) computers. Once this information is collected, it may then be organized, displayed, and analyzed in ways that were not previously possible.
    Type: Application
    Filed: July 12, 2022
    Publication date: January 5, 2023
    Inventors: F. William Conner, MinhDung Joe NguyenLe, Atul Dhablania, Richard Chio, Justin Jose, Lalith Kumar Dampanaboina
  • Patent number: 11388176
    Abstract: The present disclosure relates to methods and apparatus that collect data regarding malware threats, that organizes this collected malware threat data, and that provides this data to computers or people such that damage associated with these software threats can be quantified and reduced. The present disclosure is also directed to preventing the spread of malware before that malware can damage computers or steal computer data. Methods consistent with the present disclosure may optimize tests performed at different levels of a multi-level threat detection and prevention system. As such, methods consistent with the present disclosure may collect data from various sources that may include endpoint computing devices, firewalls/gateways, or isolated (e.g. “sandbox”) computers. Once this information is collected, it may then be organized, displayed, and analyzed in ways that were not previously possible.
    Type: Grant
    Filed: April 30, 2020
    Date of Patent: July 12, 2022
    Assignee: SONICWALL INC.
    Inventors: F. William Conner, MinhDung Joe NguyenLe, Atul Dhablania, Richard Chio, Justin Jose, Lalith Kumar Dampanaboina
  • Publication number: 20210168157
    Abstract: The present disclosure relates to methods and apparatus that collect data regarding malware threats, that organizes this collected malware threat data, and that provides this data to computers or people such that damage associated with these software threats can be quantified and reduced. The present disclosure is also directed to preventing the spread of malware before that malware can damage computers or steal computer data. Methods consistent with the present disclosure may optimize tests performed at different levels of a multi-level threat detection and prevention system. As such, methods consistent with the present disclosure may collect data from various sources that may include endpoint computing devices, firewalls/gateways, or isolated (e.g. “sandbox”) computers. Once this information is collected, it may then be organized, displayed, and analyzed in ways that were not previously possible.
    Type: Application
    Filed: April 30, 2020
    Publication date: June 3, 2021
    Inventors: F. William Conner, MinhDung Joe NguyenLe, Atul Dhablania, Richard Chio, Justin Jose, Lalith Kumar Dampanaboina