What is Data Loss Prevention?
Data loss prevention (DLP) is a cybersecurity methodology that combines technology and best practices to prevent the exposure of sensitive information outside of an organization, especially regulated data such as personally identifiable information (PII) and compliance related data: HIPAA, SOX, PCI DSS, etc. In recent years, organizations have faced a growing number of international, federal and state regulations designed to protect consumers and control the disclosure of personal information. At the same time, companies are increasingly motivated to prevent the exposure or misuse of proprietary intellectual property that could have significant financial impact from loss of competitive advantage. For these reasons, data loss prevention has become an essential element in the cybersecurity arsenal.
Time to find a Smarter Approach to DLP
Today’s most effective data loss prevention solutions combine technology and processes. Blunt force detection algorithms integrated with blocking capabilities are no longer effective. What’s needed now are DLP approaches that a) help businesses to pre-emptively protect sensitive information from unintentional loss, b) educate users on proper data handling policies, and c) empowers them to remediate incidents in real-time. This is exactly how the Check Point Data Loss Prevention Software Blade functions. The innovative MultiSpect™ data classification solution combines user, content and process information to make accurate decisions, while UserCheck™ technology empowers 
users to remediate incidents in real time. Check Point’s self-educating network-based DLP solution frees IT/security personnel from incident handling, while educating users on proper data handling policies. The result is that sensitive corporate information is fully protected from both intentional and unintentional loss.