Increasing security and reducing technical confusion through conversational browser

A computer-implemented method of enhancing security in a web browser application, the method comprising:

• displaying a webpage within the web browser application;
• displaying, concurrently with the webpage, a chatbot interface in the web browser application;
• receiving a natural language input into the chatbot interface, the natural language input relating to at least one of safety of the webpage or a web browsing session;
• extracting context for at least one of the displayed webpage or the web browsing session;
• generating a prompt for a machine learning (ML) model, wherein the prompt includes the natural language input and the extracted context;
• providing the prompt as input into the ML model;
• in response to the prompt, receiving an output from the ML model, wherein the output includes executable code for performing one or more actions for changing a security setting of the web browser application;
• displaying a contextual response, within the chatbot interface, based on the output received from the ML model, the contextual response including a proposed change to the security setting;
• receiving, within the chatbot interface, an affirmative response;
• and
• based on the affirmative response, executing a portion of the code to cause the web browser application to change the security setting.

A computer-implemented method of enhancing security in a web browser application, the method comprising:

• displaying a webpage within a web browser application;
• displaying, concurrently with the webpage, a chatbot interface in the web browser application;
• receiving a natural language input into the chatbot interface;
• extracting context from the displayed webpage;
• generating a prompt for a machine learning (ML) model, wherein the prompt includes the natural language input and the context extracted for the webpage;
• providing the prompt as input into the ML model;
• in response to the prompt, receiving an output from the ML model, wherein the output includes executable code for performing one or more actions based on the natural language input;
• executing a portion of the code to cause the web browser application to perform at least one of the one or more actions;
• displaying a contextual response, within the chatbot interface, based on the output received from the ML model, wherein the contextual response includes a proposed setting change to a setting of the web browser application;
• receiving an affirmative response for the proposed settings change;
• and
• based on receiving the affirmative response, executing a portion of the executable code to cause the web browser application to implement the proposed setting change to the setting of the web browser application.