Toronto-Dominion Bank had 35 patents in regtech during Q4 2023. The Toronto-Dominion Bank filed patents in Q4 2023 related to optimized anomaly prediction using machine learning, automated teller machine session data storage, and processing credit application statuses. These patents involve methods, systems, and computing platforms for efficient anomaly detection, checksum generation and storage, as well as automated status updates for credit applications without the need for manual contact. GlobalData’s report on Toronto-Dominion Bank gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Toronto-Dominion Bank grant share with regtech as a theme is 48% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Systems and methods of optimizing machine learning models for automated anomaly detection (Patent ID: US20230419402A1)

The patent filed by The Toronto-Dominion Bank describes a method, system, and technique for optimized anomaly prediction using machine learning. The system includes an unsupervised clustering module to cluster account data sets, an anomaly detection module to label anomalies in the data sets, and a tree classification model to detect anomalies based on the labeled data. The system generates rules executable for anomaly spotting by defining combinations of feature characteristics resulting in outlier data, which can be applied to new data for anomaly detection.

The method involves clustering training data into clusters based on input features, determining distribution patterns for each cluster, identifying outlier data points within each cluster, and labeling them as anomalies. A tree classification model is then trained on the labeled data to detect anomalies, and rules are extracted from the model for anomaly spotting. The method also includes applying the rules to new customer data to classify them as outliers or normal based on the defined feature characteristics. The system and method aim to improve anomaly detection in account data using machine learning models and unsupervised clustering techniques.

To know more about GlobalData’s detailed insights on Toronto-Dominion Bank, buy the report here.

Premium Insights


The gold standard of business intelligence.

Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.


GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

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.