As governments transition to fully digital records, protecting sensitive data has become a critical priority. In the Middle East, Saudi Arabia is leading the way with its National Data Management and Personal Data Protection Standards.

Enterprise Data Management (EDM) is a comprehensive approach to defining, integrating, and retrieving data in an organization.

Embracing data compliance can help organizations maintain best practices. Let's look at some of the challenges and benefits of data compliance, along with some of the top regulations.

Data masking or data obfuscation has become a popular way to modify data to make it difficult to ascertain what's authentic vs. what's been modified. In today's blog we look at three different data masking techniques.

In this blog, we ask six data protection experts how modern organizations can protect their data now and in the future.

Data classification and DLP tools can certainly serve as standalone solutions, but when paired together, organizations can truly benefit from what the solutions have to offer.

Implementing a DLP policy can help put safeguards around data in your organization. In this blog, we walk you through the steps to creating an effective DLP policy, including how to outline specifications around data classification, handling, and discovery.

Data is the cornerstone of the digital economy, but its constant generation creates challenges for organizations. One such challenge is storing and managing the data securely throughout its lifecycle–namely–creation, storage, processing, archival, and disposition.

Getting personally identifiable information (PII) classification right is one of the first steps to having an effective data protection strategy. We break down four best practices in this blog.

Having a data classification matrix, part of a comprehensive data classification policy, can help organizations better determine the risk level of data.

How do you classify data in your organization? Conducting a data risk assessment and keeping compliance regulations top of mind are some of the first steps to helping an organization protect its data.

To gain some insight into the most common pitfalls companies face when it comes to discovering and properly classifying data, we reached out to a panel of data scientists and security leaders.

Data classification, discovery, and encryption: We reached out to 18 security experts for insight on implementing a data-centric audit and protection program in an organization.

From heightened visibility into your data to helping you meet compliance regulations, linking Data Discovery and Data Classification together produces many security benefits for your organization.

Our Definitive Guide to Data Classification series concludes with guidance on how to set yourself up to succeed and keep your sensitive data safe.

Part 4 in our Definitive Guide to Data Classification series offers tips for getting organizational support for your data classification program.

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.

Part two in our blog series on The Definitive Guide to Data Classification discusses the growing data deluge, what analysts are saying about security strategy, and how classification can bring order to your digital world.

Welcome to the first in a series highlighting our latest eBook, The Definitive Guide to Data Classification. This post focuses on understanding the basics of data classification and dispels some of the myths from 1st generation classification products.Successfully protecting your enterprise’s digital data can be a tall task; what if there were a simple way to make that easier? A method that...

Tony Themelis answers 6 questions about how data classification can bolster your security strategy.