Data Loss Prevention (DLP) is the practice of detecting and preventing data breaches, exfiltration, or unwanted destruction of sensitive data. Organizations use DLP to protect and secure their data and comply with regulations. Organizations typically use DLP to:
- Protect Personally Identifiable Information (PII) and comply with relevant regulations
- Protect Intellectual Property critical for the organization
- Achieve data visibility in large organizations
- Secure mobile workforce and enforce security in Bring Your Own Device (BYOD) environments
- Secure data on remote cloud systems
The DLP term refers to defending organizations against both data loss and data leakage prevention. Data loss refers to an event in which important data is lost to the enterprise, such as in a ransomware attack. Data loss prevention focuses on preventing illicit transfer of data outside organizational boundaries.
For organizations concerned with the loss or public exposure of important and often confidential data, Connectis will provide a Summary of Findings for Data Loss Prevention. Our service includes identifying and classifying information that is Confidential,
Public and Private. Consultants meet with and interview key stakeholders, along with our technologies, gather information on how data at rest and data in motion are stored, how internal systems that push data categorize the classification of the data, recognizing the security implications that must be maintained based on the classification. Our report identifies and makes recommendations to how your policies should control the data flow.
Connectis DLP services help organizations recognize which assets require protection and how to protect them from leakage. Leakage refers to data that’s unintentionally pushed out, accessible to theft, easily exposed to download via web apps or USB devices and others.