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.

Digital forensics identifies, collects, and analyzes digital evidence to trace cyber breaches, assess data loss, and enhance future security.

Data ingress is incoming data to a system, while data egress is outgoing data. Both require secure and efficient management.

Sensitive data refers to any information that could harm or have adverse consequences when accessed without authorization.

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

Integrated Risk Management (IRM) unifies siloed risk practices into a cohesive, structured framework, enabling strategic and effective risk oversight.

AI data governance refers to the management and control of data used in AI systems in an organization.

Learn what a forward proxy is and how it works, and explore its primary use cases in enhancing privacy, content control, and network security.

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

Data visibility refers to the ability to accurately and holistically see, access, and analyze data within a business or organization in real time.

Data observability enables monitoring, managing, and understanding data quality, reliability, and performance across pipelines and 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.

Cybersecurity has become more critical than ever, with data protection being at the top of organizations' minds. Enter Secure Service Edge (SSE). Read on to learn more about the fundamentals of SSE, its key components, and how it can enhance organizations' data protection strategies.

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

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.

Digital watermarking is a potent tool for protecting intellectual property and copyrighted material. It is a marker embedded in digital content material, typically used to identify the source and ownership of copyrighted material. This article will explore the concept of digital watermarking, how it works, and the different types of digital watermarking.

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.