Rapid7 has patented a method using machine learning models to associate assets related to events in a computer network with assets in an asset catalog. The technique involves generating signatures of assets based on network addressing information and outputting information on associated assets. GlobalData’s report on Rapid7 gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Rapid7, Network traffic analysis was a key innovation area identified from patents. Rapid7's grant share as of May 2024 was 65%. Grant share is based on the ratio of number of grants to total number of patents.

Method for associating assets in computer network using machine learning

Source: United States Patent and Trademark Office (USPTO). Credit: Rapid7 Inc

The granted patent (Publication Number: US12003362B2) outlines a method for associating assets related to events detected in a computer network with assets in an asset catalog. The method involves using a computer hardware processor to monitor network activity, obtain information about events related to assets, generate a signature for each asset using machine learning models, and associate the assets based on their signatures. The process includes identifying assets in the catalog using a locality-sensitive hashing technique, comparing signatures, and calculating Hamming distances to determine associations. The method can handle various network parameters like hostnames, IP addresses, and MAC addresses, and can differentiate between physical and virtual devices like containers or virtual machines.

Furthermore, the patent describes a system and a computer-readable storage medium storing instructions for performing the asset association method. The system includes a computer hardware processor and storage medium with executable instructions for monitoring network activity, generating signatures for assets, associating assets based on signatures, and outputting information on the associations. The method outlined in the patent aims to streamline asset management in computer networks by leveraging machine learning models to efficiently link events to specific assets in the catalog, enabling better tracking, identification, and policy enforcement based on the associated assets. This innovative approach could enhance network security, asset monitoring, and policy compliance in complex computing environments.

To know more about GlobalData’s detailed insights on Rapid7, buy the report here.

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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.