OneTrust had seven patents in cybersecurity during Q1 2024. OneTrust LLC’s patents filed in Q1 2024 focus on integrating third party computing system functionality into a first party system while analyzing and mitigating risks, updating classifier priorities in a model, and tracking usage of information security entities for tenants on a multi-tenant security platform. These patents aim to improve risk management, data classification, and security assurance processes for organizations. GlobalData’s report on OneTrust gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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OneTrust grant share with cybersecurity as a theme is 42% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Systems and methods for mitigating risks of third-party computing system functionality integration into a first-party computing system (Patent ID: US20240098109A1)
The patent filed by OneTrust LLC describes a system and method for integrating third-party computing system functionality into a first-party computing system while managing and mitigating associated risks. The system involves accessing risk data from various tenant computing systems to determine the risk score related to integrating third-party functionality based on past integrations. By analyzing this data, a recommended control set is generated to mitigate identified risks, which can be implemented by the first-party computing system. The system utilizes a combination of rules-based and machine-learning models to generate control recommendations based on the common control set and mitigation weights determined from the risk data.
Furthermore, the method involves identifying risks associated with integrating third-party functionality, accessing control data from multiple computing systems that have previously integrated the same functionality, and determining a common control set to mitigate these risks. By processing risk scores and control data, the system generates control recommendations using rules-based models. The implementation of these recommendations can involve modifying the third-party functionality or disabling it, with the option to generate a user interface displaying the recommended controls. Overall, the system aims to provide a structured approach to integrating third-party computing system functionality into a first-party system while effectively managing and mitigating associated risks based on historical data and control measures implemented by other systems.
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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.
