Patents by Inventor Tim Bazalgette

Tim Bazalgette 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: 20250322070
    Abstract: A computer-implemented method of investigating a potential cyber incident detected by a cyber security system is described. The method comprises using artificial intelligence (AI) based analysis to perform an investigation into the potential cyber incident based on one or more user-selected hypotheses selected by a user responsive to one or more alerts generated by the cyber security system. The method further comprises causing one or more actions to be performed based on an outcome of the investigation.
    Type: Application
    Filed: February 20, 2025
    Publication date: October 16, 2025
    Inventors: Tim Bazalgette, Simon Fellows, Patrick Osborne
  • Publication number: 20250267155
    Abstract: A cyber security appliance can detect a cyber threat with a set of LoRA attachments, a base machine learning model, and an ensemble machine learning model. Each LoRa attachment in the set is specifically trained on identifying and confirming a particular indication of the cyber threat and/or another property being analyzed for cyber security purposes. The base machine learning model and one or more of the LoRa attachments in the set of attachments are paired to work in tandem with each other to analyze input data to look for the particular indication of the cyber threat and/or other property being analyzed for cyber security purposes.
    Type: Application
    Filed: February 20, 2025
    Publication date: August 21, 2025
    Inventors: Miguel Neves Fonseca, Tim Bazalgette, Philip Sellars
  • Publication number: 20240223596
    Abstract: An apparatus to protect a network from a potential cyber threat associated with a new endpoint to that network is described. The apparatus comprises a memory to store a representation of an artificial intelligence (AI) model. The AI model is at least partly trained based on information aggregated from a first information source and a second information source. The first information source comprises information about a first factor that at least partly characterizes endpoints. The second information source comprises information about a second, different, factor that at least partly characterizes endpoints. The apparatus further comprises a processor. The processor is to receive information about the new endpoint to that network. The processor is further to determine, using the AI model, whether the information about the new endpoint indicates that a characteristic of the new endpoint overlaps with a profile of characteristics associated with endpoints known to be associated with a cyber threat.
    Type: Application
    Filed: December 29, 2023
    Publication date: July 4, 2024
    Inventors: Philip Sellars, Stephen Pickman, Andres Curto Martin, Tim Bazalgette, Soufian El Yadmani