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.
Key features and benefits
Gain full visibility of all your data
Understand where your sensitive data is in your organization. Monitor and protect data in both managed apps and unmanaged cloud apps, web traffic, and email.
Understand data context with Cloud XD™
Discover, monitor and control how data is being used in your organization from an app, web and user perspective. Establish data security policies that are appropriate for your enterprise without hindering productivity.
Enforce policies with advanced data loss prevention (DLP)
Obtain contextual awareness of content being used in the cloud, provide real-time coaching against risky activities, and effectively protect your sensitive data no matter where it is by restricting unauthorized activity.
Effective remediation for policy volations
Readily find and respond to policy violations in structured and unstructured data, webmail, social media posts, instant messages, and more. Quickly follow up to DLP violations and incidents with intuitive end-to-end workflows or third-party integrations.
Encryption to ensure data privacy
Protect sensitive data and maintain data privacy by encrypting content to ensure that you always have full control. Files are encrypted in real-time without impacting user productivity.
Netskope NewEdge is the world’s largest, highest-performing security private cloud and powers the real-time, inline security services of the Netskope Security Cloud allowing security to be deployed at the edge where and when it’s needed.