Box had four patents in artificial intelligence during Q2 2024. Box Inc filed patents for methods, systems, and computer program products for detecting personally identifiable information (PII) using two detectors with different computational costs and analysis methods. They also filed a patent for improved systems that analyze user behavior to identify malicious activity in a computing system by generating feature vectors, scoring, and performing anomaly detection. 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 had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Detection of personally identifiable information (Patent ID: US20240184918A1)
The patent by Box Inc. describes methods, systems, and computer program products for detecting personally identifiable information (PII) using two detectors - one based on regular expression analysis and the other on content analysis. The first detector processes content using regular expressions to identify PII, while the second detector, which is more computationally expensive, uses content analysis and machine learning models to detect PII. The second detector generates new regular expressions based on content analysis, which are then used to update and improve the performance of the first detector continuously.
The patent claims outline a method, computer-readable medium, and system for detecting specific information in content by utilizing two detectors - one based on regular expressions and the other on machine learning models. The first detector identifies the information using regular expressions, while the second detector, which is more computationally intensive, determines whether to process the content based on the first detector's results and updates the first detector with new information. The system allows for the efficient detection of PII in shared content within a content management system, improving the accuracy and performance of the detection process.
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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.
