The definition of Data Loss Prevention encompasses a set of practices and tools meant to prevent data leakage (also known as data exfiltration) by intentional and unintentional misuse. These practices and tools include encryption, detection, preventative measures, educational pop ups (for unintentional movements), and even machine learning to assess user risk scores. Over time, DLP has evolved into the realm of data protection and has become a premier feature of data protection deployment.
For more information for DLP in general, see What is DLP?
Netskope provides a comprehensive data loss prevention (DLP) enforcement solution for cloud applications and public cloud resources that is ideal for addressing regulatory compliance requirements and protecting sensitive data in your enterprise. The DLP profiles that enforce compliance and protect sensitive data consist of DLP rules that specify data identifiers. These data identifiers find content that should not be present in cloud app transactions or public cloud storage.