Okta had 12 patents in cybersecurity during Q4 2023. Okta Inc’s patents filed in Q4 2023 focus on access management, authentication integration, multitenant infrastructure server execution, network perimeter generation, and authorization services for multiple tenant organizations. These patents aim to improve security, efficiency, and reliability in managing access, authentication, execution of computer routines, network security, and authorization across different organizations. The systems described in the patents utilize machine learning techniques, standardized data types, and relationship tuples to enhance their functionality and accuracy. GlobalData’s report on Okta gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Okta grant share with cybersecurity as a theme is 16% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Techniques for malicious entity discovery (Patent ID: US20230421577A1)

The patent filed by Okta Inc. describes methods, systems, and devices for access management that involve identifying devices of a botnet based on a cluster score associated with a device characteristic. The software platform receives a request from a device to access an application, determines a cluster score for the device's characteristic, and denies access if the cluster score exceeds a threshold. This approach efficiently identifies botnet devices, prevents brute force attacks, and enhances user access reliability through machine learning techniques.

The method, apparatus, and computer-readable medium detailed in the patent focus on determining a cluster score by generating a table of characteristics, computing matrices to detect links between device token identifiers and characteristics, and identifying clusters based on these links. The system also involves visual representations of system log events, threat score determination using machine learning models, and consideration of device characteristics like IP addresses, user identifications, and tokens. By utilizing these techniques, the system can effectively manage access by denying requests from devices identified as part of a botnet, thereby enhancing security and reliability for users accessing applications.

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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.