Rapid7. has filed a patent for techniques to associate assets related to events in a computer network with assets in an asset catalog. The method involves monitoring network activity, generating signatures, applying hashing techniques, and associating assets based on hashed signatures. 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 January 2024 was 82%. Grant share is based on the ratio of number of grants to total number of patents.

Method for associating assets in computer network with asset catalog

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

The patent application (Publication Number: US20240039730A1) describes 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 processor to monitor network activity, obtain information about events, generate signatures of assets, apply a hashing technique to create hashed signatures, and associate assets based on these signatures. The process aims to efficiently identify and link assets within the network based on their network addressing information.

Furthermore, the method includes various techniques such as generating numeric representations of network addressing information, applying locality sensitive hashing (LSH) techniques, and utilizing machine learning models for processing. The system described in the patent application involves computer hardware processors and non-transitory computer-readable storage mediums to execute the method. The goal is to streamline the association of assets in a computer network, enabling efficient identification and management of assets based on network activity and event detection. This innovation could potentially enhance asset tracking, security measures, and policy enforcement within computer networks.

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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.