Abstract: Systems, computer program products, and methods are described herein for machine learning process/model building using fuzzying techniques. The present invention is configured to determine one or more process components associated with a workflow process of an application; retrieve data from each of the one or more process components; initiate a data fuzzying engine to introduce one or more adversarial noise components on the data retrieved from each of the one or more process components; receive one or more instances of exposure for the application from each of the one or more process components in response to introducing adversarial noise on the data retrieved from each of the one or more process components; and automatically initiate one or more mitigation actions in response to receiving the one or more instances of exposure for the application from each of the one or more process components.