Data loss prevention (DLP) is a set of measures and technologies designed to prevent sensitive information from being shared, leaked, or stolen without authorization. A DLP solution identifies sensitive data and automatically intervenes when someone attempts to share it—whether via email, in a cloud environment, or via a USB drive. This allows you to maintain control over your data, regardless of where it is located or who is working with it. By better securing your data, you comply with laws and regulations. This reduces the risk of fines, reputational damage, and reportable incidents.
Data loss prevention keeps personal data, financial data, intellectual property, and confidential business information secure.
Data protection
Prevent data breaches by automatically identifying and protecting sensitive information.
More control
Insight into data usage, so you know exactly where the risks lie and can make targeted adjustments.
Awareness
DLP alerts employees when they engage in risky behavior to encourage safe behavior.
Microsoft Purview provides data security, compliance, and data management within Microsoft 365 and beyond. It helps organizations discover, classify, secure, and monitor sensitive information, regardless of where that data is located. Purview automatically identifies sensitive information, such as personal data, financial data, and confidential documents. This data can be classified and labeled, for example, as “strictly confidential.” Additionally, policies can be set to determine what happens to sensitive data. Visibility into where personal data is located, control over access, and logging and reporting for audits make compliance both demonstrable and manageable.
Incydr is Mimecast’s platform for data security, compliance, and data management within an infrastructure. It helps organizations discover, classify, secure, and monitor sensitive information, regardless of where that data is located. Incydr is a platform for insider risk management and data theft protection. This means it helps organizations detect and stop accidental or malicious data loss by internal personnel at an early stage. The platform focuses specifically on how employees use, move, and improperly remove (exfiltrate) data, with minimal impact on privacy and productivity.
No, smaller organizations also handle sensitive data. DLP is scalable and can actually help organizations make smart use of their limited IT resources.
Not necessarily. You can configure DLP to issue warnings, log incidents, or block them, depending on the risk and your policy.
DLP can identify personal data, financial information, Social Security numbers, credit card numbers, contracts, and confidential business documents, among other things.
Backups and encryption protect data after an incident occurs. DLP, on the other hand, focuses on preventing unauthorized data use and data breaches.