Patents by Inventor Andreas Eisenmann

Andreas Eisenmann 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).

  • AUTOMATED SOFTWARE VULNERABILITY ASSESSMENT USING GENERATIVE ARTIFICIAL INTELLIGENCE
    Publication number: 20260228342
    Abstract: A computer-implemented method can receive a vulnerability report for a software. The vulnerability report specifies a vulnerable library used by the software and a path of the vulnerable library within the software. The method can generate a summary of the vulnerability report using a generative artificial intelligence (AI) model, retrieve, from a bug report database, a set of relevant bug reports specifying the vulnerable library, generate a synopsis for the set of relevant bug reports using the generative AI model, generate multiple preliminary decisions on validity of the vulnerability report using the generative AI model based on the summary of the vulnerability report and the synopsis for the set of relevant bug reports, and generate a final decision on validity of the vulnerability report based on the multiple preliminary decisions. Related systems and software for implementing the method are also disclosed.
    Type: Application
    Filed: January 31, 2025
    Publication date: August 6, 2026
    Applicant: SAP SE
    Inventors: Chao Liu, Lan Luan, Khaldoun Bouhsas, Yong Li, Jinming Lv, Qiao-luan Xie, Andreas Eisenmann
  • Automated software vulnerability assessment using generative artificial intelligence
    Patent number: 12699779
    Abstract: A computer-implemented method can receive a vulnerability report for a software. The vulnerability report specifies a vulnerable library used by the software and a path of the vulnerable library within the software. The method can generate a summary of the vulnerability report using a generative artificial intelligence (AI) model, retrieve, from a bug report database, a set of relevant bug reports specifying the vulnerable library, generate a synopsis for the set of relevant bug reports using the generative AI model, generate multiple preliminary decisions on validity of the vulnerability report using the generative AI model based on the summary of the vulnerability report and the synopsis for the set of relevant bug reports, and generate a final decision on validity of the vulnerability report based on the multiple preliminary decisions. Related systems and software for implementing the method are also disclosed.
    Type: Grant
    Filed: January 31, 2025
    Date of Patent: August 4, 2026
    Assignee: SAP SE
    Inventors: Chao Liu, Lan Luan, Khaldoun Bouhsas, Yong Li, Jinming Lv, Qiao-luan Xie, Andreas Eisenmann