State Farm Mutual Automobile Insurance had 32 patents in cybersecurity during Q2 2024. State Farm Mutual Automobile Insurance Co has filed patents for a trusted data bank managing personal data streams, assessing malfunctions in autonomous vehicles and smart homes, generating blockchain-based user profiles, ensuring data security, and creating virtual synthetic representatives based on personal data. GlobalData’s report on State Farm Mutual Automobile Insurance gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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State Farm Mutual Automobile Insurance had no grants in cybersecurity as a theme in Q2 2024.
Recent Patents
Application: Data bank for managing streams of personal data (Patent ID: US20240193654A1)
State Farm Mutual Automobile Insurance Co. has developed a trusted data bank that organizes and manages access to personal data streams owned by users with their consent. The data bank receives various types of personal data, applies user-defined privacy directives, and matches this data with criteria specified by consumers of personal data to display offers for goods, services, discounts, or incentives. Users can accept these offers, allowing the data bank to provide the personal data stream to the consumer while retaining the ability to discontinue access at the owner's request. The method involves receiving personal data streams from smart devices, obtaining privacy directives from the data owner, notifying the owner of purchase opportunities, receiving bids from consumers, presenting bids to the owner, sanitizing the data based on privacy directives, and granting access to winning consumers.
The system and computer-readable medium described in the patent claims outline the process of receiving personal data streams, obtaining privacy directives, notifying owners of purchase opportunities, receiving bids, presenting bids to owners, sanitizing data based on privacy directives, and granting access to winning consumers. The system includes processors and memories storing computer-executable instructions to carry out these operations, while the computer-readable medium contains instructions for executing the data bank operations. The personal data streams can include information related to finances, education, utility usage, shopping habits, activities, hobbies, social networks, telematics data, insurance details, and more, providing a comprehensive platform for managing and utilizing personal data in a controlled and privacy-focused manner.
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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.
