Method and system for stopping multi-vector phishing attacks using cloud powered endpoint agents

A method for providing multi-vector endpoint protection comprising:

• deploying an endpoint agent to an endpoint device, wherein the endpoint device comprises a processor, a memory, and a computer program including instructions executable by the processor to implement the endpoint agent;
• using a set of machine learning algorithm trained classifiers to detect one or more phishing attacks across a plurality of attack vectors, wherein the plurality of attack vectors comprise at least two items selected from the group consisting of email, text message, social media, games, advertisements, pop-ups, browser, technical scams, and SMShing;
• blocking, by the endpoint agent, the one or more phishing attacks;
• providing a graphical user interface (GUI) running on the endpoint device allowing an end user to configure one or more protections provided by the endpoint agent and providing a safe preview of the one or more blocked phishing attacks within the GUI;
• and
• providing a cloud system in remote communication with the endpoint agent, wherein the cloud system comprises at least one processor configured to execute instructions stored on a memory of the cloud system to train and develop the set of classifiers.