Rapid7 had seven patents in digitalization during Q4 2023. Rapid7 Inc filed a patent for a method and system to detect anomalous network activity in a cloud-based compute environment by creating profiles for virtual entities and dynamically updating them with network activity observations. Another patent involves a system and method to locate documents on a computer network based on document properties, using search terms generated from basic markers and encoding functions, and performing rule-based actions on discovered documents. GlobalData’s report on Rapid7 gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Rapid7 grant share with digitalization as a theme is 71% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Multi-baseline unsupervised security-incident and network behavioral anomaly detection in cloud-based compute environments (Patent ID: US20230388195A1)
The patent filed by Rapid7 Inc. describes a method and system for detecting anomalous network activity in a cloud-based compute environment. The method involves receiving configuration data and network activity observations for virtual entities, creating profiles for these entities, updating the profiles with network activity observations, and determining anomalies. The system uses virtual entity groups associated with profiles to detect anomalous network behavior, identify deviations, determine security incidents, and generate reports.
The method and system utilize hardware processors to receive network activity observations for monitored virtual entities in a cloud-based computing environment, detect anomalous behavior by comparing observations with profiles, and generate reports for security incidents. The monitored virtual entities can be virtual machines hosted on physical hosts, and entity profiles are updated based on network activity observations. The profiles may include probabilistic distributions over factors representing behavior aspects, and mitigation actions can be initiated to address anomalous network behavior. The patent also covers the use of directed acyclic graphs to represent conditional relationships among factors in the entity profiles, providing a comprehensive approach to detecting and responding to anomalous network activity in cloud-based environments.
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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.
