Rapid7 had one patents in cloud during Q1 2024. Rapid7 Inc’s patent filed in Q1 2024 focuses on identifying anomalous levels of honeypot activity by receiving a honeypot dataset, determining a representative usage value, and initiating a remediation operation if the usage value deviates from an expected probability distribution. GlobalData’s report on Rapid7 gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Rapid7 had no grants in cloud as a theme in Q1 2024.

Recent Patents

Application: Honeypot network management based on probabilistic detection of malicious port activity (Patent ID: US20240031407A1)

The patent filed by Rapid7 Inc. describes methods, systems, and processes for identifying anomalous levels of honeypot activity by receiving a honeypot dataset, determining a representative usage value, and initiating a remediation operation in response to anomalous behavior. The method involves analyzing the number of connections to ports or applications over time, identifying malicious activity based on deviations from historical averages, and modifying intrusion detection rules accordingly. The system includes an anomaly detection and remediation (ADR) server that can monitor connection anomalies, generate anomaly events, rank them, and prioritize remediation operations on ports or applications within the honeypot network.

The computer-implemented method and system utilize expected probability distributions such as Negative Binomial and Poisson distributions to identify malicious activity, with the ADR server being hosted on virtual machines in a cloud network. The ADR server can also perform remediation operations like preventing access to or exfiltration from computer devices and generating security workflows for vulnerability assessment. By monitoring for anomalies, generating events, and ranking them, the system can efficiently address potential security threats within the honeypot network, ensuring proactive protection against malicious activities.

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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.