With the increasing pace of modern business communications, organizations are seeing new data sharing behaviors that undermine the effectiveness of conventional data identification methods that data loss prevention (DLP) solutions mainly rely on.
File classification through machine learning offers a rapid and effective means of identifying sensitive information and is a reliable method of identification for unstructured data found in documents and images, such as tax forms, patent documents, source code, passports, driver licenses, payment cards, screenshots, and more.
In this white paper you’ll learn more about the risks associated with unstructured data, and how Netskope can provide you with data security superior to traditional and conventional DLP solutions of today.