Hartford Financial Services Group. has been granted a patent for a system designed to protect proprietary data within enterprises. This system includes a proprietary data store and a compliance platform that automates governance, defines privacy objectives, and implements machine-level controls to ensure compliance and reduce data processing efforts. GlobalData’s report on Hartford Financial Services Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Hartford Financial Services Group, was a key innovation area identified from patents. Hartford Financial Services Group's grant share as of July 2024 was 68%. Grant share is based on the ratio of number of grants to total number of patents.
Proprietary data protection system for enterprises
The patent US12067579B2 outlines a comprehensive system designed to enhance proprietary data protection for enterprises. Central to this system is an encrypted database management system that houses an enterprise proprietary data store, which contains electronic data records along with their associated governance structures. The system includes a compliance computer platform that automates various processes, such as defining enterprise-wide decision accountabilities and privacy objectives based on the governance structure. It also establishes machine-level controls to ensure compliance, reduces the need for extensive data searches, and generates actionable plans to maintain compliance. Additionally, the system integrates a third-party platform that transmits governance-related data securely, and it features a central reference and master data store that facilitates compliance through contractual and privacy tagging.
The method described in the patent further elaborates on the operational aspects of the system, detailing how proprietary data and governance structures are received and processed. It emphasizes the automation of compliance tasks, the determination of asset protection scores, and the identification of ownership changes in data. The system employs scanning mechanisms to convert cryptic identifiers into recognizable patterns and utilizes human knowledge to validate results. Furthermore, it includes measures to flag potentially fraudulent activities based on specific criteria. Overall, the patent presents a structured approach to managing data protection, compliance, and integrity across enterprise systems, ensuring that contractual and privacy requirements are met efficiently.
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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.
