Abstract: Various methods, apparatuses/systems, and media for automatically protecting sensitive information data entering application logs, events, metrics, traces, or other outputs are disclosed. A processor receives source code associated with an application being developed; parses the source code and identifies variables or fields in the source code that include sensitive information data; applies artificial intelligence or machine learning algorithm to the source code to automatically identify variables that contain the sensitive information data based on the identified variables or fields and annotating accordingly. Each annotation is a hint that data associated with corresponding annotation is confidential and sensitive information that should not be published, logged, or printed.