Patents by Inventor Laurie Kraus

Laurie Kraus 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: 20240340296
    Abstract: Aspects of the subject disclosure may include, for example, obtaining data that identifies network traffic associated with a threat actor, responsive to the obtaining the data, performing feature extraction on the data, resulting in extracted features, classifying the network traffic based on the extracted features, detecting, in accordance with the classifying the network traffic, an action change in the network traffic, resulting in a detected action change, predicting a future traffic profile for the threat actor based on the detected action change, and responsive to the predicting the future traffic profile, generating an alert regarding the future traffic profile, thereby enabling mitigation of a security risk associated with the threat actor. Other embodiments are disclosed.
    Type: Application
    Filed: June 19, 2024
    Publication date: October 10, 2024
    Applicant: AT&T Intellectual Property II, L.P.
    Inventors: James Brunner, Laurie Kraus, Christopher Iverson, James Cignarella, Krissa Van Hoorebeke
  • Patent number: 12058151
    Abstract: Aspects of the subject disclosure may include, for example, obtaining data that identifies network traffic associated with a threat actor, responsive to the obtaining the data, performing feature extraction on the data, resulting in extracted features, classifying the network traffic based on the extracted features, detecting, in accordance with the classifying the network traffic, an action change in the network traffic, resulting in a detected action change, predicting a future traffic profile for the threat actor based on the detected action change, and responsive to the predicting the future traffic profile, generating an alert regarding the future traffic profile, thereby enabling mitigation of a security risk associated with the threat actor. Other embodiments are disclosed.
    Type: Grant
    Filed: November 26, 2021
    Date of Patent: August 6, 2024
    Assignee: AT&T Intellectual Property II, L.P.
    Inventors: James Brunner, Laurie Kraus, Christopher Iverson, James Cignarella, Krissa Van Hoorebeke
  • Publication number: 20240163303
    Abstract: Predicting and using threat levels for cyber threats using data from public data sources can include obtaining cyber vulnerability and threat data (“threat data”) from publicly available data sources including a social networking service, the threat data including social networking messages. A threat that is predicted to exploit a vulnerability can be determined based on the threat data. Filtered threat data that includes social networking messages that mention the threat can be stored. A threat assessment service can analyze the filtered threat data to determine a mention trend for the threat, a severity score for the threat, an exploitation history for the threat, and a patch availability for rectifying the threat. Based on the mention trend, the severity score, the exploitation history, and the patch availability, a predicted threat level for the threat can be used to generate an alert, which can be sent to a subscriber device.
    Type: Application
    Filed: November 15, 2022
    Publication date: May 16, 2024
    Applicant: AT&T Intellectual Property II, L.P.
    Inventors: Samuel Kraus, Laurie Kraus, James Cignarella, James Brunner, Krissa Van Hoorebeke
  • Publication number: 20230171266
    Abstract: Aspects of the subject disclosure may include, for example, obtaining data that identifies network traffic associated with a threat actor, responsive to the obtaining the data, performing feature extraction on the data, resulting in extracted features, classifying the network traffic based on the extracted features, detecting, in accordance with the classifying the network traffic, an action change in the network traffic, resulting in a detected action change, predicting a future traffic profile for the threat actor based on the detected action change, and responsive to the predicting the future traffic profile, generating an alert regarding the future traffic profile, thereby enabling mitigation of a security risk associated with the threat actor. Other embodiments are disclosed.
    Type: Application
    Filed: November 26, 2021
    Publication date: June 1, 2023
    Applicant: AT&T Intellectual Property II, L.P.
    Inventors: James Brunner, Laurie Kraus, Christopher Iverson, James Cignarella, Krissa Van Hoorebeke