Open Text had 44 patents in cybersecurity during Q4 2023. The patents filed by Open Text Corp in Q4 2023 cover a range of technologies including authentication processes with graded levels, dynamic encryption level changes during communication sessions, state-based entity behavior analysis, DNS smart access with trusted resolver caches, authentication requests with IP address validation, and secure stateless client-server communication using JSON web tokens. These technologies aim to enhance security and efficiency in various aspects of computing environments and communication systems. GlobalData’s report on Open Text gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Open Text grant share with cybersecurity as a theme is 47% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Dynamic level authentication/encryption (Patent ID: US20230421568A1)
The patent filed by Open Text Corp. describes a system and method for authentication and encryption in communication sessions. The system allows for a graded level of authentication using multiple authentication types, such as username/password and fingerprint scan, to access encrypted data. The data is then unencrypted based on the level of authentication. Additionally, the system enables dynamic changes in encryption levels during communication sessions, where users can request to change the encryption level, and if permission is granted, the encryption level is adjusted for a specified period.
Furthermore, the patent outlines various scenarios where different encryption levels can be applied, such as encrypting email messages, attachments, different portions of documents, and communication sessions between users. The encryption levels are based on unique encryption keys for each user or fragmented encryption keys. The system ensures secure communication by allowing users to control the encryption levels based on their needs and permissions, enhancing data protection and privacy during various types of interactions.
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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.
