PNC Financial Services Group had 12 patents in digitalization during Q1 2024. The patent filed by The PNC Financial Services Group Inc in Q1 2024 relates to systems and methods for identifying unauthorized actions in a computing system using machine learning models. The system generates indicators of severity for unauthorized activity, stores them in a database, and triggers alerts when the indicators exceed a threshold. The system can queue alerts, retrieve processed actions, and take actions such as blocking, flagging, or allowing the processed actions based on the indicators generated by the machine learning model. GlobalData’s report on PNC Financial Services Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.

PNC Financial Services Group grant share with digitalization as a theme is 91% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Systems and methods for training and applying machine learning systems in fraud detection (Patent ID: US20240086925A1)

The patent filed by The PNC Financial Services Group Inc. discloses systems, methods, and computer-readable media for identifying unauthorized actions in a computing system. The technology involves generating indicators using a machine learning model to express the severity associated with unauthorized activity for processed actions, storing these indicators in a database, and generating alerts when the indicators exceed a predetermined threshold. The alerts are queued in an ordered list, and the processed actions are retrieved based on the order in the list. The machine learning model is used to determine whether to stop, flag, or allow the processed actions based on the generated indicators.

The method and system described in the patent utilize a machine learning model trained to predict the likelihood of unauthorized activity for processed actions. The alerts are generated periodically to monitor and detect unauthorized activity, with the severity of unauthorized activity indicated by a two-digit number. The indicators are assigned based on factors like Virtual Private Network (VPN) indicators or proprietary knowledge, and the system can automatically hold, flag for review, or allow processed actions based on the severity of the indicators. The technology also involves retaining information from previously generated indicators to tune the current indicators and ordering generated alerts based on their probabilities of unauthorized activity.

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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.