
Several months ago, I wrote a post about the Top 3 Mistakes in Data Loss Prevention (DLP). In that post, I mentioned that the typical (and logical) first step for all DLP programs was the ability to identify and classify sensitive data. But that sounds a little easier than it often turns out to be. There are a number of reasons why sensitive data identification can be tricky, here are just a few of those:
Many organizations don’t have well documented...