PNC Financial Services Group had 12 patents in artificial intelligence 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 to generate severity indicators for processed actions. These indicators are stored in a database and used to generate alerts when unauthorized activity is detected, with the option to block, flag, or allow the action. Alerts are queued in an ordered list for further action. 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 artificial intelligence 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 of unauthorized activity for processed actions, storing these indicators in a database, and generating alerts when the indicators exceed a predetermined threshold. The system queues these alerts in an ordered list, retrieves the processed actions based on the alert order, and generates indicators to determine whether to stop, flag, or allow the processed actions based on the severity of unauthorized activity.

The method and system described in the patent utilize machine learning models to predict the likelihood of unauthorized activity, store indicators in a database, and generate alerts to monitor and detect unauthorized actions. The indicators are two-digit numbers representing the probability of unauthorized activity, assigned based on factors like Virtual Private Network (VPN) indicators or proprietary knowledge. The technology allows for automatic actions such as stopping or allowing processed actions based on indicator thresholds, ordering alerts by probability, and flagging actions for review by analysts. Overall, the patent outlines a comprehensive approach to identifying and responding to unauthorized actions in a computing system using machine learning and database storage.

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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.