International Business Machines had 456 patents in cybersecurity during Q1 2024. IBM’s Q1 2024 patents focus on facilitating secure data transfer, digital asset transactions with smart contracts based on license terms, tagging and sharing limited views of content based on user roles, assisting remote education learners through behavior pattern analysis, and identifying outlier application connections for computer security to reduce security risks in real-time. GlobalData’s report on International Business Machines gives a 360-degree view of the company including its patenting strategy. Buy the report here.

International Business Machines grant share with cybersecurity as a theme is 55% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Data transfer workflow in a multi-machine ecosystem (Patent ID: US20240106804A1)

The patent filed by IBM describes a method for facilitating the transfer of data between machines when traditional methods are not feasible. This involves identifying a triggering event, collecting the data to be transferred, and transferring it securely through encryption. The method includes positioning data transfer vehicles around the machines to efficiently perform the data transfer operation, especially when conditions like compromised Wi-Fi capability or being outside a communication range prevent direct transfer. The proactive positioning of data transfer vehicles is based on factors like the amount of data, time-sensitivity, and availability of vehicles.

The patent also covers a computer program product and a computer system implementing the described method. The computer program product includes instructions for positioning data transfer vehicles, collecting encrypted data, and transferring it between machines. The computer system comprises a processor, storage device, and code for performing the data transfer operations. The system's proactive positioning of data transfer vehicles is determined by factors such as the amount of data, time-sensitivity, and availability of vehicles, ensuring efficient and secure data transfer in various scenarios.

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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.