Capital One Financial had 139 patents in mobile during Q2 2024. The patents filed by Capital One Financial Corp in Q2 2024 cover various aspects of financial transaction management and authentication processes. These include automatically detecting and authorizing recurring transactions, generating visual representations of transactions related to trips, presenting user interface elements for managing multiple user accounts, detecting compromised authentication processes, and providing peer-based management of user accounts based on risk values. These innovations aim to enhance security, convenience, and efficiency in financial transactions and account management. GlobalData’s report on Capital One Financial gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Capital One Financial had no grants in mobile as a theme in Q2 2024.

Recent Patents

Application: Automated detection and processing of preauthorized recurring transactions (Patent ID: US20240211906A1)

The patent by Capital One Financial Corp. describes systems and methods for automatically detecting and authorizing recurring transactions. It involves receiving transaction data for an incoming charge from a merchant, determining if the merchant is on a blocked list for preauthorized recurring transactions, and using a machine learning model to assess the probability that the incoming charge is a preauthorized recurring transaction. If the probability does not exceed a set threshold, the authorization of the incoming charge is not blocked.

The method includes analyzing various transaction data fields such as CVV, payment mechanism, merchant category code, recurring transaction field, transaction description, and amount of the incoming charge to determine the likelihood of it being a preauthorized recurring transaction. The machine learning model is trained using historical transaction data to improve accuracy, and adjustments are made based on user feedback. Additionally, the method involves sending notifications to users when the probability does not exceed the threshold, updating transaction data accordingly, and scraping websites for keywords associated with preauthorized recurring transactions to enhance the machine learning model's performance.

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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.