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.

Whether you work for a doctor's office, healthcare organization, or just find yourself handling protected health information or ePHI, this blog breaks down what to look for in a HIPAA-compliant email service provider.

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.

As the wave of data breaches continues to crash down on companies, let’s take a look back at some of the largest and most damaging data breaches on record. Read on for a historical walk through breaches over time as well as resources for preventing data breaches.

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.

A robust healthcare data protection program goes beyond compliance - here are some tips for protecting healthcare data against today's threats.

The leak late last year of information on more than 200,000 patients of CoPilot Provider Support Services was just the first act in what is proving to be a bizarre and mysterious HIPAA ‘whodunnit.’

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