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.
Por uma questão de simplicidade, usaremos a sigla “DLP” ao longo deste guia para nos referirmos a todas essas medidas, exceto se for indicado de outra forma.
