Data classification alone will not protect your data.
Some believe that data classification is merely a complementary tool used to enhance the effectiveness, efficiency, and quality of a Data Loss Prevention (DLP) solution.
In this document, we explore how data classification relates to DLP, and what additional benefits can be achieved through a proper classification strategy.
This article focuses on automated data classification, not manual classification. The difference is significant: automated classification can process millions of documents with consistent precision, and it can update classifications dynamically when documents are modified. This provides a far more accurate picture of current risk compared to a one-time, subjective manual classification that may never be updated.
A Note on Regional Legislation
Proyecto de Ley Orgánica de Protección de Datos Personales – Fabara Abogados
As data protection laws evolve across regions—like the recent proposals in Ecuador—understanding and implementing intelligent classification becomes even more important.
Final Thought
Data classification primarily serves as a valuable complementary tool that increases the effectiveness and efficiency of Data Loss Prevention systems.
