Patents by Inventor Subhasree Baskaran

Subhasree Baskaran 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).

  • Intelligent monitoring platform using graph neural networks with a cybersecurity mesh and associated cybersecurity applications
    Patent number: 12425309
    Abstract: Arrangements for an intelligent monitoring platform using a cybersecurity mesh and graph neural networks (GNNs) are provided. A platform may train multiple machine learning models (e.g., a GNN model, a cybersecurity engine, and a monitoring model). The platform may generate, using a GNN model, a suspicion score for a received event processing request. Based on determining the suspicion score satisfies a threshold, the platform may generate a threat score using a cybersecurity engine. The platform may generate an anomaly record for the event processing request based on the threat score and using a monitoring model. The platform may determine a preferred node of a cybersecurity mesh for routing the event processing request based on the anomaly record. The platform may determine a threat prevention response based on the preferred node. The platform may initiate one or more security actions based on the threat prevention response.
    Type: Grant
    Filed: August 24, 2023
    Date of Patent: September 23, 2025
    Assignee: Bank of America Corporation
    Inventors: Sakshi Bakshi, Pushkar Taneja, Subhasree Baskaran, Durga Prasad Kutthumolu
  • INTELLIGENT MONITORING PLATFORM USING GRAPH NEURAL NETWORKS WITH A CYBERSECURITY MESH AND ASSOCIATED CYBERSECURITY APPLICATIONS
    Publication number: 20250071027
    Abstract: Arrangements for an intelligent monitoring platform using a cybersecurity mesh and graph neural networks (GNNs) are provided. A platform may train multiple machine learning models (e.g., a GNN model, a cybersecurity engine, and a monitoring model). The platform may generate, using a GNN model, a suspicion score for a received event processing request. Based on determining the suspicion score satisfies a threshold, the platform may generate a threat score using a cybersecurity engine. The platform may generate an anomaly record for the event processing request based on the threat score and using a monitoring model. The platform may determine a preferred node of a cybersecurity mesh for routing the event processing request based on the anomaly record. The platform may determine a threat prevention response based on the preferred node. The platform may initiate one or more security actions based on the threat prevention response.
    Type: Application
    Filed: August 24, 2023
    Publication date: February 27, 2025
    Inventors: Sakshi Bakshi, Pushkar Taneja, Subhasree Baskaran, Durga Prasad Kutthumolu