Which is more important to improving future data security: 1) knowing when something was blocked or 2) knowing when something was not? It’s true what they say: what you don’t know that can hurt you. And what you don’t know happens to be most critical to preventing future data loss. Data protection tools can’t help you prevent the data loss you don’t know is happening.
Yes, it is possible to prove your data security posture. Our unique Data Security Validation (DSV) service monitors all data use, uncovering everything about your data that other technologies can not. Traditional data protection tools show only policy violations, but do not log non-policy violations (including critical false negatives!). DSV shows all data activity, following the data from creation/landing, internal movement and consumption to ultimately leaving the network. The service shows all data egress, whether DLP policy violation or not, uncovering holes in your DLP policy coverage. With this new-found information, create new and exacting policies based on facts unique to your environment and your critical data.
Download our new white paper, DLP Truth & Consequences – How Visibility Will Change Your Data Protection Strategy, to learn how the Data Security Validation service will help prove and improve your data protection program. Check out a sample here: https://dlpexperts.com/wp-content/uploads/2019/09/DLP-Truth-Cons–Taste.pdf
Breaches continue in spite of data loss prevention and other data protection technologies, proving once again that what you don’t know can hurt you. Data protection solutions do exactly what they’re supposed to. The problem is, they don’t do enough. Below are some of the challenges of traditional data loss prevention technologies.
Content changes and malicious content manipulation can hide sensitive data, allowing sensitive data to leak.
You can learn a lot by how data’s used prior to egress attempts – the who, what, where, when, why and how of your data.
If you don’t know that a certain type of data is leaking, you can’t write a policy to stop it. Any policy is really a guess.
To prevent future data loss, the most important thing you can know is what you don’t know – non-policy violations.
