Rapid7 had two patents in ecommerce during Q4 2023. Rapid7 Inc filed a patent for a method and system to detect anomalous network activity in a cloud-based compute environment. The method involves creating profiles for virtual entities, updating them with network activity observations, and detecting anomalies. GlobalData’s report on Rapid7 gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Rapid7 grant share with ecommerce as a theme is 50% 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 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, compare these observations with entity profiles to detect anomalies, determine security incidents, and generate reports. The monitored virtual entities can be virtual machines hosted on physical hosts, and their profiles are updated based on network activity observations. The entity profiles include probabilistic distributions over factors representing behavior aspects, which are updated based on observations. Mitigation actions can also be initiated to address anomalous network behavior. Overall, the patent focuses on leveraging profiles and virtual entity groups to effectively detect and respond 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.