Secure cloud storage with protections equal to or stronger than traditional platforms. Learn cloud data protection challenges, best practices, and how DLP protects sensitive data.

There's no shortage of data that can be classified. To help you build an effective data classification policy, we look at 50 different examples of data classification.

When it comes to classification, not all data needs to be treated the same way. There are five common categories that organizations can follow.

Fortra's December 2025 Patch Priority Index (PPI) brings together important vulnerabilities for Microsoft and Google.Up first on the list are patches for Microsoft Edge (Chromium-based) that resolve 13 type confusion, inappropriate implementation, and use after free vulnerabilities.Next on the list are patches for Microsoft Office, Word, Access, Outlook and Excel. These patches resolve 13 remote...

Discover common Microsoft 365 security risks — from misconfigurations to IAM weaknesses — and learn how to protect sensitive data and reduce breach exposure.

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 protecting an organization’s data.

Learn about key risks to cloud data, including breaches, loss, compliance issues, misconfigurations, and how to reduce these security threats.

This report from Fortra Intelligence & Research Experts (FIRE) outlines key BEC trends for December 2025 based on active defense engagements. Findings include a 1% increase in overall attack volume compared to November, with gift cards as the leading cash-out method (52.8%) and Apple Store cards being most requested (50%).

Data classification methods are techniques used to organize and categorize data into various distinct classes or groups. These methods are essential for numerous applications, such as data analysis and machine learning, as well as data security, data management, and regulatory compliance.What Is Data Classification?Data classification is the process of organizing and categorizing data into...

A new year often brings a wave of updated cybersecurity compliance requirements. In 2026, regulators are raising the bar. “Check-the-box” compliance that may once have been sufficient to pass audits is no longer enough. Today’s mandates increasingly demand evidence: proof that controls are operating as designed, faster incident reporting, and broader disclosure obligations across vendors, systems,...

Today’s Patch Tuesday Alert addresses Microsoft’s January 2026 Security Updates. The FIRE team is actively working on coverage for these vulnerabilities and expect to ship that coverage as soon as it is completed.

Human error now plays a role in 95 percent of data breaches, making it more critical than ever for security teams to treat it as the substantial threat it is. In some cases, employees intentionally expose sensitive data for personal gain. But the most pervasive insider threats aren’t malicious — they’re accidental. This challenges the notion that an organization can become invulnerable if only it...

AI threats can be plentiful and widespread. This blog breaks through the noise by identifying the top five riskiest AI threats to pay attention to this year. Fortra’s threat research breaks down what these threats are, how they are carried out by threat actors, and the risks they pose to all organizations regardless of size or industry.

An organization must define how it classifies its data set so it can take the necessary measures to protect them effectively. Since all data isn’t created equal, data classification enhances this by highlighting the sensitivity levels.What Is a Data Classification Schema?A data classification schema is a framework or structure that organizes and categorizes data into different classes or...