Protecting data in the context of zero trust means moving beyond perimeter-based defenses to a model where no user, device, or application is inherently trustworthy. As a result, every access request is verified, continuously monitored, and limited to the minimum necessary permissions needed to perform a job function. This approach reduces the risk of insider threats, compromised credentials, and...

Multicloud security involves strategies and measures to safeguard data, applications, and infrastructure across multiple cloud environments.

Fortra's Q2 2025 data protection releases represent a significant step forward in making enterprise data protection both more powerful and more accessible.

Exact Data Match (EDM) is a data comparison method mainly used in data loss prevention (DLP) systems.

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.