Rapid7 had five patents in cloud during Q4 2023. Rapid7 Inc’s patent focuses on detecting anomalous network activity in a cloud-based compute environment by 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 cloud as a theme is 80% 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 with corresponding 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, compare these observations with entity profiles, detect anomalies, and generate reports for security incidents. The monitored virtual entities can be virtual machines hosted on physical hosts, and the entity profiles are updated based on network activity observations. The profiles may include probabilistic distributions over factors representing behavior aspects, and the method involves updating these distributions based on observations. Additionally, mitigation actions can be initiated to address anomalous network behavior. Overall, the patent focuses on efficiently detecting and responding to security incidents related to anomalous network activity in cloud-based environments using virtual entity groups and profiles.

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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.