Biotronik SE had two patents in mobile during Q2 2024. The patent filed by Biotronik SE & Co KG in Q2 2024 is for a device and method to protect sensitive personal data stored in a public storage. This involves a trusted tokenization system that replaces sensitive personal references with non-sensitive data elements, while storing an association between the two in a secure environment. The non-sensitive data element is generated in a user-specific manner to allow processing in existing user infrastructure without the need for adaptation. GlobalData’s report on Biotronik SE gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Biotronik SE had no grants in mobile as a theme in Q2 2024.
Recent Patents
Application: Personal data anonymization system (PDAS) with customized token (Patent ID: US20240119174A1)
The invention by Biotronik SE & Co KG pertains to a device and method for safeguarding sensitive personal data stored in a public storage. The device includes a trusted tokenization system with interfaces to handle sensitive personal data and public storage. This system replaces sensitive personal references in the public storage with non-sensitive data elements, storing the association securely. The non-sensitive data element is user-specific and can be processed in the user's existing infrastructure without modifications. The device is particularly useful for health or patient data and includes features like data access rights management, encryption, prevention of data falsification, and incorrect data assignment.
The device also manages distributed data elements, generates non-sensitive data elements for various use cases, and allows users to authorize data release to cloud service providers. Two-factor authentication is used for data release confirmation, and users can authorize specific data uses like feeding into machine learning systems. The device can send data to a cloud server with associated security codes encrypted with a token key. Additionally, a computer-implemented method is outlined for protecting sensitive personal data in public storage, involving the use of a trusted tokenization system to replace sensitive personal references with non-sensitive data elements and securely store the association between the two. This method ensures that the non-sensitive data elements can be processed in the user's existing infrastructure without the need for adaptations.
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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.
