International Business Machines had 396 patents in cybersecurity during Q2 2024. IBM filed patents for methods, systems, and computer program products related to prompting data sessions, injecting shims into containers in a distributed computing environment, multi-factor authentication using virtual and physical devices, assessing SIEM environment effectiveness, and migrating workloads between single and multi-node environments over a TLS network. GlobalData’s report on International Business Machines gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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International Business Machines had no grants in cybersecurity as a theme in Q2 2024.
Recent Patents
Application: Prompting data session (Patent ID: US20240211586A1)
The patent filed by IBM describes methods, computer program products, and systems for running prompting data sessions based on user data analysis. The method involves examining user data to determine if a criterion is met for running a prompting data session, then establishing and updating a relationship graph based on the data. The updated graph is presented to users, with adaptations made based on user engagement levels. The system includes a memory, processor, and program instructions to execute the method, monitoring user engagement with the relationship graph and adjusting the presentation accordingly.
The patent claims detail the specific steps involved in the computer-implemented method, such as monitoring conversations, converting voice content to text, and using natural language processing for topic extraction. It also includes adapting the relationship graph differently for individual users based on linguistic complexity predictions and engagement monitoring. The method further involves mining data assets, generating relationship graphs, and presenting different versions of the graph to different users based on their engagement levels. The system described in the patent includes components for executing the method, monitoring user engagement, and adjusting the presentation of the relationship graph based on various engagement factors.
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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.
