Okta has filed a patent for an access analysis system that uses data about user requests to generate user access distributions. These distributions quantify the distribution of a user’s requests to access applications over time. The system can compare new access requests to the previously-generated distributions to determine if they are anomalous. If a request is deemed sufficiently non-anomalous, it can be granted with minimal additional actions, but if it is sufficiently anomalous, it may be denied or require additional authentication factors. 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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According to GlobalData’s company profile on Okta, automation system authentication was a key innovation area identified from patents. Okta's grant share as of September 2023 was 52%. Grant share is based on the ratio of number of grants to total number of patents.
Access analysis system for determining anomalous user access requests
A recently filed patent (Publication Number: US20230283623A1) describes a computer-implemented method for analyzing access requests to remote applications. The method involves obtaining a variety of attributes associated with the access request, including the time of the request. An access distribution is then identified for the user, which quantifies application access based on a specific timescale. The access request is evaluated for anomalies by comparing it to the identified access distribution and the associated time.
The patent also includes additional features, such as generating multiple access distributions for the user based on attributes of access requests to various remote applications. Each access distribution corresponds to a different timescale or a different combination of attribute values. The access distribution that best matches the current access request is selected.
The method can also involve requesting an authentication factor from the user in response to the access request. If the access request is determined to be anomalous, the user may be prompted to provide additional authentication factors. Additionally, the remote applications can be ranked based on the access distribution and presented to the user in a corresponding order within a graphical user interface.
The patent further includes a non-transitory computer-readable storage medium that stores instructions for executing the method. These instructions can be executed by a processor in a device, which obtains the attributes of the access request, identifies the access distribution, and determines whether the request is anomalous.
Overall, this patent describes a computer-implemented method for analyzing access requests to remote applications, allowing for the identification of anomalies and the implementation of additional security measures. The method utilizes various attributes and timescales to quantify application access and make informed decisions about the legitimacy of access requests.
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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.
