Rapid7 had seven patents in digitalization during Q1 2024. Rapid7 Inc filed patents in Q1 2024 for systems and methods to implement a bounded group by query system for computing approximate time-sliced statistics, a SQL database system for reading and writing a non-SQL document store using SQL, and a method for defending against malicious profiles on the web by inspecting, analyzing, and submitting takedown requests for malicious profiles. GlobalData’s report on Rapid7 gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Rapid7 grant share with digitalization as a theme is 57% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Event monitoring service providing approximate event data querying (Patent ID: US20240104076A1)

The patent filed by Rapid7 Inc. describes a system and method for implementing a bounded group by query system that calculates approximate time-sliced statistics for groups of records in a dataset based on a group by query. The system performs a single pass scan of the dataset to accumulate exact results for a maximum number of groups in a result grouping structure (RGS) and approximate results for additional groups in an approximate result grouping structure (ARGS). These structures are then combined by an aggregator node to generate exact or approximate statistical results for a subset of the groups in the dataset. This approach allows for the production of approximate results for some groups in a single pass of the dataset using size-bounded data structures, without needing to determine the actual number of groups in advance.

The method outlined in the patent involves creating a time-sliced approximate data structure (TSADS) for events in an event log repository, which includes a counts matrix and a statistics matrix. The counts matrix uses a count-min sketch to store approximate counts of datapoints in different groups across time slices, while the statistics matrix stores approximate statistics for these groups. The system can respond to retrieve requests for approximate statistics for specific groups by selecting cells in the count-min sketch and determining the best approximate count and statistic for each time slice. This method enables the monitoring service to detect security incidents in a network, generate alerts, and present data in graphical user interfaces, making it a comprehensive solution for analyzing and managing large datasets efficiently.

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