Palo Alto Networks had 15 patents in cloud during Q4 2023. Palo Alto Networks Inc filed patents in Q4 2023 for cloud native VM runtime protection, browser extension for security information integration, crowdsourcing traffic data for benchmarking applications, and automatic detection of unknown packers in malware samples. These patents focus on enhancing cybersecurity measures through machine learning, data collection, and analysis techniques. GlobalData’s report on Palo Alto Networks gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Palo Alto Networks grant share with cloud as a theme is 20% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Cloud native virtual machine runtime protection (Patent ID: US20230418637A1)
The patent filed by Palo Alto Networks Inc. describes a system and method for cloud native virtual machine (VM) runtime protection. The method involves training a machine learning model to detect normal behavior of services on a cloud native VM, defining capabilities based on detected behaviors, generating a normal behavior model, and detecting deviations from this model caused by abnormal behaviors. The capabilities can include hierarchical relationships, behavioral rules, and correlations among discrete behaviors like running a process or accessing a file path. The system also allows for uploading the normal behavior model to a cloud service for accessibility by installations, with the option to enhance capabilities with behavioral rules during runtime execution.
The patent further details the method in claims, including training the machine learning model, defining capabilities, generating the normal behavior model, and detecting deviations. The capabilities can be defined based on hierarchical relationships, behavioral rules, and correlations among behaviors. The system also allows for uploading the normal behavior model to a cloud service for accessibility by installations, with the option to enhance capabilities with behavioral rules during runtime execution. Overall, the patent outlines a comprehensive approach to cloud native VM runtime protection using machine learning models and defined capabilities to detect and respond to abnormal behaviors effectively.
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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.
