Patents Assigned to Social Safeguard, Inc.
  • Patent number: 11936686
    Abstract: Embodiments of the present disclosure use natural language processing, machine learning and relevant corpora to detect social engineering attacks with a high degree of accuracy. In various embodiments, lexical features, spelling features and topical features are automatically analyzed from a source text and a model is employed to assess the likelihood that the source message is a social engineering attack.
    Type: Grant
    Filed: January 21, 2022
    Date of Patent: March 19, 2024
    Assignee: Social Safeguard, Inc.
    Inventors: Otavio R. Freire, Ruben Jimenez
  • Patent number: 11240266
    Abstract: Embodiments of the present disclosure use natural language processing, machine learning and relevant corpora to detect social engineering attacks with a high degree of accuracy. In various embodiments, lexical features, spelling features and topical features are automatically analyzed from a source text and a model is employed to assess the likelihood that the source message is a social engineering attack.
    Type: Grant
    Filed: July 16, 2021
    Date of Patent: February 1, 2022
    Assignee: Social Safeguard, Inc.
    Inventors: Otavio R. Freire, Ruben Jimenez