Discover Financial Services has been granted a patent for a computing platform that allows users to create and execute custom anomaly detection rules. The platform receives user-defined rules, converts them to query statements, applies them to streaming event queues, and issues anomaly notifications based on conditions being satisfied. GlobalData’s report on Discover Financial Services gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Discover Financial Services, UWB-enabled payments was a key innovation area identified from patents. Discover Financial Services's grant share as of January 2024 was 41%. Grant share is based on the ratio of number of grants to total number of patents.

User-defined anomaly detection rules for computing platform

Source: United States Patent and Trademark Office (USPTO). Credit: Discover Financial Services

A recently granted patent (Publication Number: US11886278B2) discloses a computing platform designed to facilitate anomaly detection in streaming event queues. The platform includes program instructions stored on a non-transitory computer-readable medium that, when executed by at least one processor, enable the platform to create, store, retrieve, and convert anomaly detection rules into streaming query statements. These rules are then applied iteratively to streaming event queues to identify anomalies based on user-defined conditions. The platform can issue anomaly notifications to users based on the detected anomalies. The system allows users to define anomaly conditions, analyze subsets of streaming events, evaluate data fields, and perform various forms of data analysis to detect anomalies effectively.

Furthermore, the computing platform maintains a schema for the streaming event queues and can determine user-selectable options based on permissions information and schema registry data. The platform can also handle schema updates, ensuring that any requests involving the removal of data fields are appropriately managed. By generating anomaly events, writing them to designated event queues, and issuing notifications to users based on anomaly detection rules, the platform provides a comprehensive solution for anomaly detection in streaming data. Overall, the patented technology offers a robust and user-friendly approach to anomaly detection in real-time data streams, enhancing the efficiency and accuracy of anomaly identification processes.

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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.