Royal Bank of Canada had 22 patents in cybersecurity during Q2 2024. The Royal Bank of Canada filed patents in Q2 2024 for systems and methods related to processing data securely within a Trusted Execution Environment, electronic verification of credentials using a “max gate” neural network component, analyzing web browser extensions for potential risks, controlling a user interface for interactive offers and coupons in a payment process, and concealing threat detection and notification code within a website code base using disguised beacons. GlobalData’s report on Royal Bank of Canada gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Royal Bank of Canada had no grants in cybersecurity as a theme in Q2 2024.
Recent Patents
Application: System and method for secure electronic transaction platform (Patent ID: US20240184898A1)
The patent filed by the Royal Bank of Canada describes a system for processing data within a Trusted Execution Environment (TEE) of a processor. The system includes a trust manager unit for verifying the identity of a partner, issuing a communication key, interfaces for receiving encrypted data, a secure database for storing encrypted data, and a recommendation engine for generating recommendations based on decrypted data. The system ensures the segregation of data processing subsystems, maintains encrypted memory regions, receives and encrypts data sets from computing devices, and processes queries to generate output data structures using machine learning data models.
Furthermore, the system involves the generation of public/private key pairs, encryption using corresponding keys, remote attestation processes, and the use of secure processors to manage data processing. The method outlined in the patent involves receiving, recording, and encrypting data sets from partner computing devices, processing queries based on the received data sets, and updating machine learning data models. The patent also includes instructions stored on a computer-readable medium for executing the method within a trusted execution environment, emphasizing the secure processing and segregation of data to generate output data structures based on partner data.
To know more about GlobalData’s detailed insights on Royal Bank of Canada, buy the report here.
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