Royal Bank of Canada had 25 patents in digitalization during Q4 2023. The Royal Bank of Canada has filed patents for methods and systems to detect network anomalies in public-facing application services by monitoring external public Internet platforms and generating anomaly reports. They have also developed systems for secure data sets used in electronic payment transactions, including pre-funded payment token data sets for purchases. Additionally, they have created systems for processing secure data for electronic payment transactions, allowing for the use of multiple payment accounts and secure payment tokens. GlobalData’s report on Royal Bank of Canada gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Royal Bank of Canada grant share with digitalization as a theme is 56% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Detecting network anomalies by correlating multiple information sources (Patent ID: US20230412452A1)
The patent filed by the Royal Bank of Canada describes a method for detecting network anomalies by monitoring a network providing public-facing application services and external public Internet platforms to obtain problem report data. When the data exceeds a threshold, internal network event logging tools are queried for alerts to identify anomalies, generate anomaly reports, and initiate known remediations automatically if available. Network administrators can also be notified automatically. The method involves parsing social media posts for keywords to extrapolate problem reports, disambiguating unrelated reports, mapping keywords to application codes, and identifying specific components of application services to pinpoint anomalies.
The claims detail the steps involved in the method, including monitoring the network and external platforms, querying internal tools for alerts, generating anomaly reports, and initiating remediations. The method also includes notifying network administrators of the anomaly reports. Different types of external platforms, such as dedicated problem-reporting platforms and social media platforms, are utilized to gather problem report data. The method involves analyzing reports from these platforms, mapping keywords to application codes, and identifying specific components to detect anomalies accurately. The threshold for triggering the anomaly detection process can be fixed, time-bounded, or based on a rate. Additionally, the patent covers computer program products and data processing systems implementing the described method for detecting network anomalies.
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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.
