Capital One Financial had 56 patents in regtech during Q2 2024. Capital One Financial Corp’s patents in Q2 2024 focus on improving data security through fraud checks based on application analytics, managing fraud rules and authentication directions using location data, a payment instrument with reactive layers for security, dynamically generating pre-approval data, and running lender microservices in a jailed environment for autonomous decision-making based on rule sets. GlobalData’s report on Capital One Financial gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Capital One Financial had no grants in regtech as a theme in Q2 2024.
Recent Patents
Application: Electronic profile and data security enforcement with user device data and methods of use thereof (Patent ID: US20240211954A1)
The patent filed by Capital One Financial Corp. describes systems and methods for enhancing data security by analyzing user profile activity in conjunction with application analytics data from a software application on a user device. The computer system receives an authorization request with a time-stamp, profile identifier, and value, and accesses application analytics data including open and close event indicators for the software application. By determining the open period of the software application at the time-stamp, a reduced set of fraud checks is selected and executed within that period, leading to a fraud determination and authorization notification based on the analysis.
The method outlined in the patent involves receiving a profile activity authorization request associated with a user profile, accessing application log events including an open event indicator for a software application on the user's device, and determining an application open period based on the open event indicator. By establishing the user's intended profile activity authorization request within the application open period, the method authorizes the profile activity to proceed, ensuring that the user's actions align with the expected behavior during the software application's operation. This innovative approach aims to enhance data security by leveraging application analytics data to streamline fraud checks and improve the accuracy of authorization decisions based on user activity.
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