Lacework. has been granted a patent for a method that integrates a natural language interface into an anomaly detection framework. This method involves detecting events related to monitored assets, generating natural language inputs, and receiving computer code to remediate detected events. GlobalData’s report on Lacework gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Lacework, Network threat detection was a key innovation area identified from patents.

Natural language interface for anomaly detection and remediation

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

The granted patent US12058160B1 outlines a method and computer program product designed to enhance monitoring tools through the integration of a natural language interface. The method involves detecting events related to monitored assets, generating natural language inputs based on the detected events, and submitting these inputs to the natural language interface. The interface then generates computer code intended to remediate the identified events. Additionally, the method allows for iterative interactions, where responses from the natural language interface can lead to further inquiries or requests for additional information, thereby facilitating a more comprehensive investigation of the events.

The patent also specifies various types of assets that can be monitored, including cloud deployments, software development pipeline components, network-connected end-user devices, and infrastructure-as-code templates. The method includes provisions for generating structured queries based on responses from the natural language interface, which can be expressed in a predetermined query language. This structured approach aims to streamline the process of event remediation and enhance the overall functionality of monitoring tools, particularly in environments where rapid response to anomalies is critical.

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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.