Palo Alto Networks had 12 patents in digitalization during Q1 2024. Palo Alto Networks Inc filed patents in Q1 2024 for dynamic partitioning of search space for database querying, detecting parked domains using machine learning, automatically detecting protocol compliance of applications, and sampling data about software defined infrastructures in cloud computing environments for context-sensitive help in policy rule constructions. GlobalData’s report on Palo Alto Networks gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Palo Alto Networks grant share with digitalization as a theme is 66% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Heuristic database querying with dynamic partitioning (Patent ID: US20240037101A1)
The patent filed by Palo Alto Networks Inc. describes a method for dynamically partitioning a search space of queries in a database to enhance flexibility and efficiency in querying. By appending additional predicates to queries based on dynamic partition keys and heuristic values, the search space is divided into smaller parts. Candidate augmentations of the query are generated and evaluated using heuristics to determine the best query plan for execution, considering factors like result quality and latency. Pagination is used to present the results, and the process is repeated until a search termination criterion is met.
The method involves determining candidate partitions of the search space based on heuristics, selecting the best partition for query execution, obtaining a subset of results, and paginating them. The approach includes generating multiple query plans, evaluating them based on estimated execution costs and number of records, and selecting the optimal plan. The system can handle requests for additional result subsets by repeating the process and terminates based on predefined criteria. The patent also covers machine-readable media with program code for logical division of search space, selection of candidate augmentations, and pagination of results, as well as an apparatus with instructions for determining partitions, evaluating query versions, and selecting the best one for execution.
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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.
