Abstract: Artificial-intelligence computer-implemented processes and machines predict whether personal data may be present in structured software based on metadata field(s) contained therein. Natural language processing preprocesses input strings corresponding to the metadata field(s) into normalized input sequence(s). Individual characters in the sequence(s) are embedded into fixed-dimension vectors of real numbers. Bidirectional LSTM(s) or other machine-learning algorithm(s) are utilized to generate forward and backward contextualization(s). Neural network output(s) are provided based on element-wise averaging or feed forwarding based on the contextualization(s) in order to predict whether one or more value fields corresponding to the metadata field(s) may contain personal data.

Abstract: A system provides a way to scan protected electronic data via database schema collection. In particular, the system may comprise a database schema collection application which may aggregate physical database schema from all of the databases within the network environment. The system may further comprise a protected data scan application which may receive scan results from the database schema collection (e.g., by scanning metadata) and subsequently output the scan results to other applications and/or repositories. The protected data scan application may further report changes in database schema to account for new values and/or categories existing within the various databases.

Abstract: A system provides a way to scan protected electronic data via database schema collection. In particular, the system may comprise a database schema collection application which may aggregate physical database schema from all of the databases within the network environment. The system may further comprise a protected data scan application which may receive scan results from the database schema collection (e.g., by scanning metadata) and subsequently output the scan results to other applications and/or repositories. The protected data scan application may further report changes in database schema to account for new values and/or categories existing within the various databases.