Methods and systems for detecting, via resource-level entropy checks, resources having anomalous attributes

A system comprising at least one non-transitory computer-readable medium having computer program instructions stored thereon, the computer program instructions being executable by at least one computer processor to perform a method for detecting, by a ransomware detection system, via at least one resource-level entropy check during a process for transmitting a plurality of resource to a data backup system, a resource in the plurality of resources having an anomalous attribute, the method comprising:

• (A) generating, by a ransomware detection system, a first machine learning model associated with a first type of resource associated with at least one resource in a plurality of resources transmitted to a data backup system;
• (B) determining, by the ransomware detection system, that a first resource in the plurality of resources is associated with the first type, the determining occurring prior to transmission of a second resource in the plurality of resources to the data backup system;
• (C) analyzing, by the ransomware detection system, using the first machine learning model, the analyzing occurring prior to transmission of the second resource to the data backup system;
• (D) determining, by the ransomware detection system, prior to transmission of the second resource in the plurality of resources to the data backup system, based on the analysis, that the first resource is anomalous;
• and
• (E) transmitting, by the ransomware detection system, an alert of the determination that the first resource is anomalous.