The Royal Bank of Canada has patented a cybersecurity platform that analyzes data to identify anomalies and security events. It utilizes graph data structures to link machines and user accounts, enabling the detection of potential attacks by correlating current and past security events. GlobalData’s report on Royal Bank of Canada gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Royal Bank of Canada, Social commerce was a key innovation area identified from patents. Royal Bank of Canada's grant share as of June 2024 was 84%. Grant share is based on the ratio of number of grants to total number of patents.
Cybersecurity platform for detecting and analyzing security threats
The granted patent US12047396B2 outlines a cybersecurity computing system designed to enhance the detection and monitoring of security threats within a network. The system comprises a processor and memory that store executable instructions for processing current data from various network points. It identifies anomalies and generates security events, each accompanied by descriptive data that indicates potential security threats. The system correlates these events and anomalies, extracts relevant metadata, and constructs graph data structures that illustrate relationships between machines and events. By analyzing these structures, the system can determine if a current event represents an earlier stage of a known attack, allowing it to generate and transmit timely security alerts.
Additionally, the patent details various configurations for the processor, including the storage of security events and anomalies, and the labeling of graph data structures with risk ratings and probabilities of false positives. The system can also utilize machine relationship data to assess trust levels between machines and apply advanced processing techniques, such as clustering and neural networks, to identify outliers and predict future security events. This comprehensive approach aims to improve the accuracy and efficiency of cybersecurity monitoring, enabling organizations to respond proactively to potential threats.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
