Palo Alto Networks had 26 patents in artificial intelligence during Q4 2023. Palo Alto Networks Inc filed patents in Q4 2023 for cloud native VM runtime protection, dynamic content tagging, IoT security, locating DGA compromised IP addresses, and securing serverless applications. These patents involve techniques such as machine learning models, natural language processing, profiling IoT devices, user behavior profiling, and creating security policies based on intended usage flows. 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 artificial intelligence as a theme is 26% 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 system utilizes hierarchical relationships, behavioral rules, and correlations among behaviors to enhance the normal behavior model and ensure runtime protection of cloud native VMs.
The patent also includes claims for a method, a non-transitory machine-readable medium, and an apparatus implementing the described system and method. These claims detail the steps involved in training the machine learning model, defining capabilities, generating the normal behavior model, and detecting deviations. Additionally, the claims specify the inclusion of hierarchical relationships, behavioral rules, and correlations among behaviors in the process. The patent aims to provide an effective and comprehensive solution for protecting cloud native VM runtimes by leveraging machine learning models and behavior analysis to detect and respond to abnormal behaviors in real-time.
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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.
