Box had six patents in cybersecurity during Q1 2024. Box Inc’s patents filed in Q1 2024 focus on content management systems and identifying collaborators on migrated content. The methods involve automatically determining access permissions based on user interactions, forming a machine learning model, and assigning permissions to collaborative relationships. Policies are applied during content migration to determine which collaborators should have access on the target system. GlobalData’s report on Box gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Box grant share with cybersecurity as a theme is 66% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Activity-based content object access permissions (Patent ID: US20240037266A1)
The patent filed by Box Inc. describes methods, systems, and computer program products for content management systems that automatically determine activity-based content object access permissions and make recommendations for such permissions. A machine learning model is created from user interactions with content objects, continually updated based on ongoing observations. When a collaborative relationship is initiated, the model is used to assign access permissions to the relationship, covering multiple collaboration objects. These permissions can be automatically assigned or presented as recommendations to the invitor, who can accept or reject them.
The method outlined in the patent involves generating a training dataset from user interaction events, training a model based on these events, and assigning access roles and permissions to invitees in a collaborative relationship based on analysis results. The interaction events involve various entities such as users and content objects, with permissions allowing different types of access. The method further includes generating feature structures, determining interaction event groups, and creating a collaboration network data structure to characterize entity relationships. Additionally, the trained model is validated and optimized based on target tolerances, ensuring efficient and accurate assignment of access permissions in collaborative relationships.
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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.
