Abstract: Systems and methods for malware detection are provided herein. In some embodiments, a system having one or more processors is configured to: perform, on a plurality of user devices, at least one of a static analysis or a behavioral analysis of a file downloaded to a user device; receive a plurality of features extracted from the downloaded file; train at least one machine learning model, on a central server in communication with the plurality of user device, based on the plurality of features; distribute the at least one trained machine learning model to the plurality of user devices; and update at least one of a machine learning model used for the static analysis or behavioral analysis with the distributed at least one trained machine learning model.

Abstract: Systems and method for URL filtering are provided herein. In some embodiments, a system includes a processor programmed to receive a URL request to access a resource associated with the URL; perform a first layer of URL filtering by comparing the URL to a blocklist of malicious URLs; determine that the URL does not match a URL on the blocklist; perform a second layer of filtering by applying a machine learning algorithm to analyze the URL to predict whether the URL is malicious; and generate and transmit a URL filter determination that the URL is malicious and update the blocklist to include the URL.