Sitting on troves of sensitive data? It’s not enough to just protect against external attackers—insider threats, configuration mistakes, human error, and data-scraping apps can all result in that information ending up where it shouldn’t. Data loss prevention (DLP) refers to the tools and processes that organizations use to ensure information stays within its intended guardrails at potential egress points. That could mean ensuring that sensitive or protected data is only accessible to authorized parties, or isn’t inadvertently mixed into other data sets—or it could mean preventing a user from copying proprietary information onto a USB drive, or sending it to an external party via email. DLP software is important for compliance with regulations concerning personal, health, and financial data, as well as shielding intellectual property. It also helps IT and compliance staff gain insight into how data circulates through organizations. To operate properly, DLP tools need to be able to classify, monitor, and control data, as well as cover all the places it could be stored or transmitted. Today, that doesn’t just mean endpoints and networks, but SaaS and the cloud. For example, DLP software might intervene and prohibit a user from copying strings of protected data from one file to an unauthorized destination. To do so, DLP software must be able to hook into operating systems, network monitoring tools, and other software. While some vendors rely on distributed computation to handle the associated workloads, others offer cloud-based tools. Keep reading here.—TM |