Sensitive data detection using domain-enhanced attention neural networks

Abstract

Provided herein are systems and methods for detecting and sanitizing sensitive data using domain-enhanced attention neural networks. In some embodiments, a processor of a client retrieves training data comprising tuples. Each tuple comprises a first parameter and a second parameter. For each tuple the processor matches a substring in a first parameter of the respective tuple to a keyword of a plurality of keywords, identifies a security category corresponding to the at least one keyword, and expands the first parameter of the respective tuple to comprise a respective string associated with the application event and the security category. The processor trains a model to detect and sanitize the sensitive data from the application events using the tuples, including an expanded first parameter for each tuple. The processor sanitizes the sensitive data using the trained model.