Data loss prevention (DLP) is a strategy for making sure that end users do not send sensitive or critical information outside the corporate network. The term is also used to describe software products that help a network administrator control what data end users can transfer .DLP software products use business rules to classify and protect confidential and critical information so that unauthorized end users cannot accidentally or maliciously share data whose disclosure could put the organization at risk.
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Xedos data loss prevention software detects potential data breaches/data ex-filtration transmissions and prevents them by monitoring, detecting and blocking sensitive data while in-use, in-motion, and at-rest..
- Network-based data loss prevention (DLP) solutions are focused on protecting data while it is in motion. These data loss prevention solutions are installed at the “perimeter” of enterprise networks. They monitor network traffic to detect sensitive data that is being leaked or sent out of the enterprise. Solutions may investigate email traffic, instant messaging, social media interactions, web 2.0 applications, SSL traffic and more. Their analysis engines are looking for violations of predefined information disclosure policies, such as data leaks.
- Data center or storage-based data loss prevention (DLP) solutions focus on protecting data at rest within an organization’s data center infrastructure, such as file servers, SharePoint and databases. These data loss prevention solutions discover where confidential data resides and enable users to determine if it’s being stored securely. When confidential information resides on insecure platforms, it is usually an indication of problematic business processes or poorly executed data retention policies.
- Content-aware data loss prevention (DLP) tools address the risk of accidental exposure of sensitive data outside authorized channels, using monitoring, blocking and remediation functionality. These tools enable the enforcement of company policies based on the classification of content. Data leak prevention technologies are being increasingly leveraged for data discovery and classification purposes.