Gartner describes DLP in the following way:
Data loss protection (DLP) describes a set of technologies and inspection techniques used to classify information content contained within an object — such as a file, email, packet, application, or data store — while at rest (in storage), in use (during an operation) or in transit (across a network).
It’s a practice that helps to detect and prevent data from being taken or transferred without authorization. Basically, it’s software that network administrators use to monitor and control what data users can transfer.
But here’s the thing – traditional DLP software hasn’t advanced enough to handle the cloud. Legacy DLP tools work well when data is stored in local drives, but they struggle to keep up when it’s in the cloud.
According to Gartner's 2022 Market Guide for Data Loss Prevention, "Cloud migration has complicated the vendor selection process for clients since these legacy approaches to DLP often are no longer viable."
However, there was a time when DLPs were really important and had a lot of benefits. Before cloud migrations, traditional DLP software worked really well at preventing data loss.
Companies with DLPs were able to
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Meet compliance standards,
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Protect intellectual property,
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Improve data visibility, and
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Reduce financial risk.
But now, as more companies move to the cloud, traditional DLPs aren’t as effective at securing sensitive information. They were definitely a positive impact on the security industry, but they just can’t keep up with the changes in technology.
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