For a successful Data Loss Prevention (DLP) strategy, the first step is data classification. Data classification involves identifying and categorizing data based on its sensitivity and importance, which allows the DLP system to apply appropriate security controls to protect critical or sensitive information. Without proper data classification, it is difficult to implement effective DLP policies. While tokenization, network traffic analysis, and multifactor authentication can contribute to data security, classification is fundamental to building a targeted and effective DLP strategy. CASP+ highlights the importance of identifying and categorizing data as a key part of securing sensitive information and preventing data breaches.