Invention Application
- Patent Title: INTELLIGENT MONITORING PLATFORM USING GRAPH NEURAL NETWORKS WITH A CYBERSECURITY MESH AND ASSOCIATED CYBERSECURITY APPLICATIONS
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Application No.: US18237745Application Date: 2023-08-24
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Publication No.: US20250071027A1Publication Date: 2025-02-27
- Inventor: Sakshi Bakshi , Pushkar Taneja , Subhasree Baskaran , Durga Prasad Kutthumolu
- Applicant: Bank of America Corporation
- Applicant Address: US NC Charlotte
- Assignee: Bank of America Corporation
- Current Assignee: Bank of America Corporation
- Current Assignee Address: US NC Charlotte
- Main IPC: H04L41/16
- IPC: H04L41/16 ; H04L9/40 ; H04L41/069

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.
Information query