SAP had 48 patents in cybersecurity during Q4 2023. SAP SE filed patents in Q4 2023 related to preserving confidentiality and privacy of user comments stored on the cloud through encryption, performing antivirus scans on incoming files to prevent infected files from being stored, managing tenant objects and database artifacts in a database system, and encrypting data associated with different instances of tenant objects using public encryption keys. These patents focus on enhancing security and data protection in cloud storage and database management systems. GlobalData’s report on SAP gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

SAP grant share with cybersecurity as a theme is 41% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Cloud comment storage using per-artifact key (Patent ID: US20230421537A1)

The patent filed by SAP SE focuses on preserving the confidentiality and privacy of user comments by encrypting comments stored on the cloud. A migration engine and crypto server work behind a firewall to retrieve, encrypt, and decrypt comments based on metadata and keys. The method involves receiving comments and metadata, selecting keys, transforming comments, and forwarding them across the firewall based on different migration instructions like onboarding, offboarding, or key rotation. This approach allows for flexibility in comment migration, such as selectively rotating compromised or expired keys.

The claims associated with the patent detail the method steps involved in receiving, transforming, and forwarding comments based on different migration instructions and metadata. The process includes generating keys from metadata, encrypting and decrypting comments, and reencrypting them based on specific instructions like key rotation. The patent also covers aspects like the type of artifact related to the comment, unique identifiers, creator, collaboration team, role, relation to other comments, time/date, and security level. The computer system described in the patent is configured to execute the method steps, generate keys, select keys, and transform comments based on metadata, ensuring secure and flexible comment migration processes.

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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.