Okta had three patents in artificial intelligence during Q2 2024. Okta Inc’s patent filed in Q2 2024 describes methods, systems, and devices for managing requests by utilizing language models corresponding to different programming languages. The software platform determines mixtures based on these language models and decides whether to execute the request or not. GlobalData’s report on Okta gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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Okta had no grants in artificial intelligence as a theme in Q2 2024.

Recent Patents

Application: Techniques for detecting command injection attacks (Patent ID: US20240134974A1)

The patent filed by Okta Inc. describes methods, systems, and devices for managing requests by a software platform that can receive requests associated with different programming languages. The platform determines mixtures based on language models corresponding to the programming languages and executes or refrains from executing the request based on these mixtures. The method involves determining if the request includes programming tokens from the different languages and setting thresholds for executing the request based on the mixtures satisfying certain criteria. Additionally, the platform can perform a training operation using a machine learning model, obtain data associated with the programming languages, and assign weights to programming tokens based on their frequency in the data.

The apparatus and non-transitory computer-readable medium described in the patent also implement the method for managing requests by receiving, determining mixtures, and executing requests based on language models and thresholds. The apparatus can further determine if the request includes programming tokens from different languages and perform a training operation using a machine learning model. The non-transitory computer-readable medium stores code for executing the method, determining mixtures, setting thresholds, and performing training operations based on language models and data associated with programming languages. Overall, the patent outlines a comprehensive system for managing requests across different programming languages using language models and machine learning techniques.

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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.