Netskope had six patents in digitalization during Q2 2024. Netskope Inc’s patent filed in Q2 2024 focuses on a system to reduce clutter in displaying security analysis graphs by aggregating simple chains of nodes with similar characteristics. The aggregation process excludes certain chains based on risk analysis scores, which can be easily brought to an analyst’s attention. GlobalData’s report on Netskope gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Netskope had no grants in digitalization as a theme in Q2 2024.
Recent Patents
Application: Security events graph for alert prioritization (Patent ID: US20240137390A1)
The patent filed by Netskope Inc. describes a system and method for reducing clutter in a security analysis graph by aggregating simple chains of nodes that are equivalent in terms of length, connection types, and endpoints. These aggregated chains are displayed to simplify the graph. However, certain chains can be excluded from aggregation based on an accumulated risk analysis score, with those exceeding a threat threshold being highlighted to analysts. The technology also involves assigning native scores to edges between nodes, distributing these scores to connected nodes, and allowing for node pinning to exclude specific nodes from aggregation and hiding based on security alerts.
In summary, the patent outlines a computer-implemented method, computer-readable medium, and system for clutter reduction in security analysis graphs by aggregating equivalent simple chains of nodes and excluding certain chains based on risk analysis scores. It also involves assigning scores to edges, distributing scores to connected nodes, and allowing for node pinning to exclude specific nodes from aggregation based on security alerts, whether related to threat hunting or malware response. This technology aims to streamline the visualization of network resources and security events for analysts, enhancing the efficiency of threat detection and response 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.
