One major challenge to creating a data protection program (possibly the biggest) is getting buy-in from management to allocate budget for a major technology purchase. Especially when you can’t absolutely prove which type of technology – DLP, CASB, ERM, Classification – you even need. While those of us in the security space have a good idea that data is leaking, it’s often hard to convince management – until it’s too late.
What if you could absolutely prove your data security requirements and which technologies can help? Possibly even showing how existing technologies can address this need? Our unique Data Security Validation (DSV) service can do just that. It monitors all data use, uncovering everything about your data – who are your creators and consumers, who touches which files, how they interact with files, filename changes, copy/paste into new files, how files move through the organization (both internal and external), how they’re shared inside and outside the company, which cloud services are used, where files are sent outside the company, etc.
This new-found information will show, factually, which technologies you need (if any) allowing you to promote the specific technologies that will meet the requirements for your unique environment and your own 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/2019/07/DLP-Truth-Cons-Sample.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.