Patents by Inventor Anne L. BOLGERT

Anne L. BOLGERT 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: 11095676
    Abstract: Systems and methods for identifying and remediating malware-compromised mobile devices are disclosed. A computer-implemented method includes accessing, by a computing device, malware risk data; determining, by the computing device, a mobile device is at risk from malware based on the malware risk data; identifying, by the computing device, a set of connections of a user of the mobile device, wherein each connection in the set of connections is associated with a user computer device; identifying, by the computing device, at least one user computer device from the set of connections at risk from the malware; and outputting, by the computer device, a malware notification for the mobile device at risk and at least one user computer device at risk.
    Type: Grant
    Filed: October 29, 2019
    Date of Patent: August 17, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Anne L. Bolgert, Richard J. Cohen, Miguel Sang, Krishna K. Yellepeddy
  • Publication number: 20200067964
    Abstract: Systems and methods for identifying and remediating malware-compromised mobile devices are disclosed. A computer-implemented method includes accessing, by a computing device, malware risk data; determining, by the computing device, a mobile device is at risk from malware based on the malware risk data; identifying, by the computing device, a set of connections of a user of the mobile device, wherein each connection in the set of connections is associated with a user computer device; identifying, by the computing device, at least one user computer device from the set of connections at risk from the malware; and outputting, by the computer device, a malware notification for the mobile device at risk and at least one user computer device at risk.
    Type: Application
    Filed: October 29, 2019
    Publication date: February 27, 2020
    Inventors: Anne L. BOLGERT, Richard J. COHEN, Miguel SANG, Krishna K. YELLEPEDDY
  • Patent number: 10530804
    Abstract: Systems and methods for identifying and remediating malware-compromised mobile devices are disclosed. A computer-implemented method includes accessing, by a computing device, malware risk data; determining, by the computing device, a mobile device is at risk from malware based on the malware risk data; identifying, by the computing device, a set of connections of a user of the mobile device, wherein each connection in the set of connections is associated with a user computer device; identifying, by the computing device, at least one user computer device from the set of connections at risk from the malware; and outputting, by the computer device, a malware notification for the mobile device at risk and at least one user computer device at risk.
    Type: Grant
    Filed: October 4, 2018
    Date of Patent: January 7, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Anne L. Bolgert, Richard J. Cohen, Miguel Sang, Krishna K. Yellepeddy
  • Publication number: 20190036962
    Abstract: Systems and methods for identifying and remediating malware-compromised mobile devices are disclosed. A computer-implemented method includes accessing, by a computing device, malware risk data; determining, by the computing device, a mobile device is at risk from malware based on the malware risk data; identifying, by the computing device, a set of connections of a user of the mobile device, wherein each connection in the set of connections is associated with a user computer device; identifying, by the computing device, at least one user computer device from the set of connections at risk from the malware; and outputting, by the computer device, a malware notification for the mobile device at risk and at least one user computer device at risk.
    Type: Application
    Filed: October 4, 2018
    Publication date: January 31, 2019
    Inventors: Anne L. BOLGERT, Richard J. COHEN, Miguel SANG, Krishna K. YELLEPEDDY
  • Patent number: 10164998
    Abstract: Systems and methods for identifying and remediating malware-compromised mobile devices are disclosed. A computer-implemented method includes accessing, by a computing device, malware risk data; determining, by the computing device, a mobile device is at risk from malware based on the malware risk data; identifying, by the computing device, a set of connections of a user of the mobile device, wherein each connection in the set of connections is associated with a user computer device; identifying, by the computing device, at least one user computer device from the set of connections at risk from the malware; and outputting, by the computer device, a malware notification for the mobile device at risk and at least one user computer device at risk.
    Type: Grant
    Filed: September 13, 2017
    Date of Patent: December 25, 2018
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Anne L. Bolgert, Richard J. Cohen, Miguel Sang, Krishna K. Yellepeddy
  • Publication number: 20180007080
    Abstract: Systems and methods for identifying and remediating malware-compromised mobile devices are disclosed. A computer-implemented method includes accessing, by a computing device, malware risk data; determining, by the computing device, a mobile device is at risk from malware based on the malware risk data; identifying, by the computing device, a set of connections of a user of the mobile device, wherein each connection in the set of connections is associated with a user computer device; identifying, by the computing device, at least one user computer device from the set of connections at risk from the malware; and outputting, by the computer device, a malware notification for the mobile device at risk and at least one user computer device at risk.
    Type: Application
    Filed: September 13, 2017
    Publication date: January 4, 2018
    Inventors: Anne L. BOLGERT, Richard J. COHEN, Miguel SANG, Krishna K. YELLEPEDDY
  • Patent number: 9848010
    Abstract: Systems and methods for identifying and remediating malware-compromised mobile devices are disclosed. A computer-implemented method includes accessing, by a computing device, malware risk data; determining, by the computing device, a mobile device is at risk from malware based on the malware risk data; identifying, by the computing device, a set of connections of a user of the mobile device, wherein each connection in the set of connections is associated with a user computer device; identifying, by the computing device, at least one user computer device from the set of connections at risk from the malware; and outputting, by the computer device, a malware notification for the mobile device at risk and at least one user computer device at risk.
    Type: Grant
    Filed: November 24, 2015
    Date of Patent: December 19, 2017
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Anne L. Bolgert, Richard J. Cohen, Miguel Sang, Krishna K. Yellepeddy
  • Publication number: 20170149815
    Abstract: Systems and methods for identifying and remediating malware-compromised mobile devices are disclosed. A computer-implemented method includes accessing, by a computing device, malware risk data; determining, by the computing device, a mobile device is at risk from malware based on the malware risk data; identifying, by the computing device, a set of connections of a user of the mobile device, wherein each connection in the set of connections is associated with a user computer device; identifying, by the computing device, at least one user computer device from the set of connections at risk from the malware; and outputting, by the computer device, a malware notification for the mobile device at risk and at least one user computer device at risk.
    Type: Application
    Filed: November 24, 2015
    Publication date: May 25, 2017
    Inventors: Anne L. BOLGERT, Richard J. COHEN, Miguel SANG, Krishna K. YELLEPEDDY