Royal Bank of Canada had 27 patents in artificial intelligence during Q4 2023. The Royal Bank of Canada filed patents in Q4 2023 for methods and systems related to detecting network anomalies, providing domain-specific contextual engines for conversational flow, detecting phishing events using machine learning, operating a neural network for time series forecasting, and preparing a trained complete selective classifier. These innovations aim to enhance network security, improve conversational interactions, prevent phishing attacks, optimize forecasting accuracy, and refine classification mechanisms. 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 artificial intelligence as a theme is 18% 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 tools are queried for alerts to identify anomalies, generate reports, and initiate known remediations automatically. Network administrators can also be notified automatically. The method involves parsing social media posts for keywords, disambiguating 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 extrapolating problem reports from public posts, identifying keywords, and disambiguating reports to exclude irrelevant information. Additionally, the claims specify the use of fixed thresholds, time-bounded thresholds, or rates to trigger the anomaly detection process. The patent also covers computer program products and data processing systems implementing the described method.
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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.
