Patent ID: 11962607
Assignee: CAPITAL ONE SERVICES, LLC
Field: Digital communication (Electrical engineering)
Classification: CPC G  H | IPC H

Claim 0:
1. A method comprising:
receiving, by a computing device and from a remote server, a risk detection machine learning model trained to receive user input data associated with a web page and output an indication of risk associated with the web page;
executing, by the computing device, a web browser application comprising a risk detection web browser plugin configured to implement the risk detection machine learning model;
collecting user activity data that indicates a plurality of different applications executing on the computing device by:
detecting the plurality of different applications, other than the web browser application, executing on the computing device;

accessing, via the web browser application, a first web page;
collecting, via the risk detection web browser plugin, page data associated with the first web page, wherein the page data comprises one or more words displayed by the web page;
calculating, using the risk detection machine learning model, a risk level of the first web page by processing the user activity data that indicates the plurality of different applications executing on the computing device;
querying, based on the page data, the remote server to identify a merchant associated with the web page; and
causing output, by the computing device, based on the risk level, based on a quantity of fraudulent transactions associated with the merchant, and based on the one or more words of the page data, of a security recommendation.