Our Definitive Guide to Data Classification series concludes with guidance on how to set yourself up to succeed and keep your sensitive data safe.
The Most Comprehensive Data Protection Solution
Discover, classify, and protect your data from all threats with the only Gartner Magic Quadrant DLP and Forrester Wave EDR Leader.
First and Only Solution to Converge:
- Data Loss Prevention
- Endpoint Detection and Response
- User and Entity Behavior Analytics
Part 4 in our Definitive Guide to Data Classification series offers tips for getting organizational support for your data classification program.
How Should You Classify Your Data? A Guide to Using Context-, Content-, and User-Based Data Classification Effectively
Part 3 in our Definitive Guide to Data Classification series discusses different approaches to data classification with guidelines on choosing the right method for your organization.
Tony Themelis answers 6 questions about how data classification can bolster your security strategy.
Understanding your goals is a critical first step in your journey toward building the right data protection program for your organization. Part six of our Definitive Guide to Data Loss Prevention series examines some of the key considerations for this process.
Digital Guardian’s data protection capabilities go well beyond traditional DLP – watch our latest video demos to learn how our Advanced Threat Protection provides unparalleled visibility and behavior-based detection of advanced attacks.
Welcome to the first in a series of blogs highlighting Digital Guardian’s recently released eBook, The Definitive Guide to Data Loss Prevention. This post focuses on the commonly asked question of “Do I need DLP?” and covers the driving forces behind DLP adoption.
Digital Guardian is pleased to announce the release of the latest version of our industry leading data protection platform, adding functionality for both the management console and endpoint agent. This release further enhances Digital Guardian’s ability to protect sensitive data anywhere, anytime as the volume of sensitive data expands and the digital economy's reliance on data grows.