Arista Networks. has been granted a patent for an automated security framework that detects and monitors network threats. The method involves creating a tracking data object to represent threats, selecting relevant monitoring processes, and dynamically updating threat states based on collected data. GlobalData’s report on Arista Networks gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Arista Networks, was a key innovation area identified from patents. Arista Networks's grant share as of July 2024 was 63%. Grant share is based on the ratio of number of grants to total number of patents.
The patent US12069074B2 outlines a method and device for monitoring threats within a network. The core of the invention involves instantiating a tracking data object that represents a threat, which includes various artifacts that correspond to the threat's state. Each artifact contains metadata that specifies associated objects or actions and their roles concerning the threat. The method includes selecting appropriate data monitoring processes based on the artifact metadata, invoking these processes to detect network events, and updating the threat state based on the collected data. Additionally, the method allows for the modification of artifacts and the selection of further monitoring processes as the threat state evolves.
The patent also describes the potential sources of artifacts, which can be derived from activity monitors or human users. It emphasizes the importance of maintaining a knowledge graph that represents the network's nodes and their relationships, aiding in the identification of relevant data linked to the threat. The metadata associated with artifacts can include confidence scores and reasons for role assignments, enhancing the tracking process. The device described in the patent is designed to autonomously manage the monitoring processes, allowing for updates and changes without user intervention, although user input can still be incorporated when necessary. This comprehensive approach aims to improve the efficiency and effectiveness of threat monitoring in network environments.
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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.
