Patents by Inventor Sen Xiang

Sen Xiang 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).

  • SECURITY ANALYSIS AGENTS
    Publication number: 20260230402
    Abstract: Embodiments are directed to security analysis agents. Events associated with a computing environment may be provided. Prompt fragments may be determined based on the events. A prompt may be generated for a large language model (LLM) based on a prompt template and the prompt fragments such that the prompt fragments may be included in the prompt and provided to the LLM. Actions for evaluating the events may be determined based on the LLM response. These actions may be executed to evaluate the events. Portions of the response that correspond to the prompt fragments may be determined. A performance score may be determined for each prompt fragment based on its corresponding portion of the response such that the prompt may be modified to exclude a portion of the prompt fragments that have a performance score less than a threshold value.
    Type: Application
    Filed: January 26, 2026
    Publication date: August 6, 2026
    Inventors: Xue Jun Wu, Sen Xiang, Eric Joseph Hammerle
  • Security analysis agents
    Patent number: 12537750
    Abstract: Embodiments are directed to security analysis agents. Events associated with a computing environment may be provided. Prompt fragments may be determined based on the events. A prompt may be generated for a large language model (LLM) based on a prompt template and the prompt fragments such that the prompt fragments may be included in the prompt and provided to the LLM. Actions for evaluating the events may be determined based on the LLM response. These actions may be executed to evaluate the events. Portions of the response that correspond to the prompt fragments may be determined. A performance score may be determined for each prompt fragment based on its corresponding portion of the response such that the prompt may be modified to exclude a portion of the prompt fragments that have a performance score less than a threshold value.
    Type: Grant
    Filed: June 25, 2024
    Date of Patent: January 27, 2026
    Assignee: Dropzone.ai, Inc.
    Inventors: Xue Jun Wu, Sen Xiang, Eric Joseph Hammerle
  • SECURITY ANALYSIS AGENTS
    Publication number: 20250047578
    Abstract: Embodiments are directed to security analysis agents. Events associated with a computing environment may be provided. Prompt fragments may be determined based on the events. A prompt may be generated for a large language model (LLM) based on a prompt template and the prompt fragments such that the prompt fragments may be included in the prompt and provided to the LLM. Actions for evaluating the events may be determined based on the LLM response. These actions may be executed to evaluate the events. Portions of the response that correspond to the prompt fragments may be determined. A performance score may be determined for each prompt fragment based on its corresponding portion of the response such that the prompt may be modified to exclude a portion of the prompt fragments that have a performance score less than a threshold value.
    Type: Application
    Filed: June 25, 2024
    Publication date: February 6, 2025
    Inventors: Xue Jun Wu, Sen Xiang, Eric Joseph Hammerle
  • Security analysis agents
    Patent number: 12034616
    Abstract: Embodiments are directed to security analysis agents. Events associated with a computing environment may be provided. Prompt fragments may be determined based on the events. A prompt may be generated for a large language model (LLM) based on a prompt template and the prompt fragments such that the prompt fragments may be included in the prompt and provided to the LLM. Actions for evaluating the events may be determined based on the LLM response. These actions may be executed to evaluate the events. Portions of the response that correspond to the prompt fragments may be determined. A performance score may be determined for each prompt fragment based on its corresponding portion of the response such that the prompt may be modified to exclude a portion of the prompt fragments that have a performance score less than a threshold value.
    Type: Grant
    Filed: February 26, 2024
    Date of Patent: July 9, 2024
    Assignee: Dropzone.ai, Inc.
    Inventors: Xue Jun Wu, Sen Xiang, Eric Joseph Hammerle
  • Security analysis agents
    Patent number: 11916767
    Abstract: Embodiments are directed to security analysis agents. Events associated with a computing environment may be provided. Prompt fragments may be determined based on the events. A prompt may be generated for a large language model (LLM) based on a prompt template and the prompt fragments such that the prompt fragments may be included in the prompt and provided to the LLM. Actions for evaluating the events may be determined based on the LLM response. These actions may be executed to evaluate the events. Portions of the response that correspond to the prompt fragments may be determined. A performance score may be determined for each prompt fragment based on its corresponding portion of the response such that the prompt may be modified to exclude a portion of the prompt fragments that have a performance score less than a threshold value.
    Type: Grant
    Filed: August 3, 2023
    Date of Patent: February 27, 2024
    Assignee: Dropzone.ai, Inc.
    Inventors: Xue Jun Wu, Sen Xiang, Eric Joseph Hammerle