SAP had 86 patents in cybersecurity during Q2 2024. The patents filed by SAP SE in Q2 2024 include systems and methods for securely sharing data between requestors and providers, calculating privacy parameters for applying a differential privacy algorithm, validating identities based on decentralized identifiers, obtaining consent for data sharing, dynamically processing data requests based on resource constraints, and providing secure computation of private set intersections using nested cuckoo hashing. GlobalData’s report on SAP gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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SAP had no grants in cybersecurity as a theme in Q2 2024.
Recent Patents
Application: Privacy vault (Patent ID: US20240211624A1)
The patent filed by SAP SE describes systems and methods for facilitating data sharing between data requestors and data providers through the use of user interfaces and applications. The system involves receiving a data request, launching an application to provide the requested data, displaying shareable data identifiers, and transmitting authorizations to store and share the data. The method includes steps such as receiving user interfaces, launching applications, displaying shareable data identifiers, and transmitting authorizations for data storage and sharing. The system and method are designed to streamline the process of data sharing between multiple parties efficiently and securely.
The patent further details various claims related to the system, including receiving and populating shareable data, scanning codes for authentication, and handling multiple data requests from different requestors. These claims outline the specific functionalities and processes involved in the system, such as receiving, displaying, and transmitting data based on user interactions. Overall, the patent focuses on enhancing the data sharing experience by providing a structured and secure framework for sharing data between requestors and providers through the use of user interfaces and applications.
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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.
