Capital One Financial had 34 patents in big data during Q2 2024. Capital One Financial Corp’s patents in Q2 2024 focus on improving data security, determining compliance with restrictions on devices, generating recommendations based on historical records, training machine learning models to predict downtime incidents, and mediating permissions for applications on user devices using predictive models. These systems and methods aim to enhance security, efficiency, and user experience in financial transactions and data management. 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 big data 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 to determine an application open period, and verifying if the profile activity authorization request aligns with the application open period. By analyzing the time-stamp, profile identifier, and value in conjunction with the application open event indicator, the system can authorize the profile activity request based on its alignment with the user's intended activity during the application open period. This approach aims to streamline fraud checks and enhance data security by focusing on user behavior within the software application on their device.
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