Holistic Structured Data Processing (SDP) enables Enterprise Data Loss Prevention (E-DLP) to effectively detect sensitive data in structured data without relying on header identification. Traditional DLP struggles with inconsistencies and detection gaps because it depends on valid headers in the first 10 rows, which can lead to many false negatives. The new Holistic SDP approach eliminates this dependency by focusing on the content patterns within the data itself, which is especially valuable for organizations that process diverse structured data formats.

Enterprise DLP can now more accurately detect sensitive data in tables without headers, tables with incorrect or ambiguous headers, and content with multiple data patterns in a single column. Additionally, Enterprise DLP can now processes tables aligned horizontally, multiple tables in a single sheet, combinations of tables and free-form data, and even tables with data split across columns (such as addresses distributed across street, state, country, and zip code fields).

With Holistic SDP, Enterprise DLP maintains high detection accuracy and confidence for sensitive information like social security numbers and credit card numbers, regardless of how you format or organize data in structured content. Additionally, Holistic SDP supports all previously supported languages, ensuring consistent protection across a global data ecosystem.