Capital One Financial had 310 patents in cybersecurity during Q2 2024. Capital One Financial Corp filed patents in Q2 2024 for techniques to improve security in decentralized computing systems, multi-factor authentication based on user age, identifying features in datasets for target population representation, authenticating communication sessions for financial transactions, and risk analysis of web pages using machine learning models. These patents aim to enhance security measures, improve user authentication processes, and provide risk analysis recommendations for online activities. 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 cybersecurity as a theme in Q2 2024.

Recent Patents

Application: User authentication in decentralized computing system environment (Patent ID: US20240211564A1)

The patent filed by Capital One Financial Corp. describes a computing system that authenticates users before allowing blockchain functions, using biometric information, smart contracts, and network usage costs to prevent brute force attacks. The system increases network usage costs as authentication attempts fail, making it cost-prohibitive for malicious actors to perform attacks. Additionally, the system employs biometric information for enhanced security during authentication, improving the overall security of the computing system.

The patent includes claims for a computing node in a distributed system that authenticates users using biometric information, smart contracts, and network usage costs. It outlines operations such as obtaining user information, generating authentication input requests, analyzing handwriting samples, and increasing network usage costs based on failed authentication attempts. The method also involves anomaly detection models, location-based authentication, and secret reproduction for further security measures. Overall, the patent focuses on enhancing user authentication processes in decentralized computing systems to prevent malicious activities effectively.

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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.