Our main use cases are monitoring, classification, and auto-discovery. Auto-discovery is required for existing protection, and data classification is a newly added feature still under development by a third party. We also use it for email, file, and folder data classification. Risk monitoring is an add-on, but it still relies on the same platform. Overall, discovery and classification are the most essential features for us.
What is data loss prevention? Data loss prevention (DLP) is a solution or process used to prevent data breaches and ensure that sensitive data is not lost, accessed by unauthorized users, or otherwise misused.
Our main use cases are monitoring, classification, and auto-discovery. Auto-discovery is required for existing protection, and data classification is a newly added feature still under development by a third party. We also use it for email, file, and folder data classification. Risk monitoring is an add-on, but it still relies on the same platform. Overall, discovery and classification are the most essential features for us.
We use it exclusively for data loss prevention.