Phishing attacks continue to grow in sophistication and effectiveness – here’s how to defend against this common threat.

A data classification model is a framework used to classify data points into specific categories or classes.

Learn how Fortra's Data Classification Suite can facilitate compliance with GDPR, HIPAA, PCI DSS, SOX, and other prominent data privacy regulations.

Identify top data protection risks in Google Workspace, from phishing attacks to insider threats, and learn what it takes to build a robust DSPM strategy.

Learn why Data Security Posture Management (DSPM) is critical to your zero trust architecture and an excellent starting point for building security resilience.

The people factor is still the biggest variable in cyber resilience. Firewalls, EDR, and Zero Trust help, but everyday choices shape outcomes. The top ways employees make their employer vulnerable often come down to habits formed under pressure: clicking quickly, sharing widely, and trusting implicitly. Understanding those patterns — and changing them at scale — requires focusing on human risk...

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.

Not every organization can afford to engage in a data arms race to remain competitive in the data-hungry era of generative AI and large language models. However, embracing data classification best practices is a cost-effective way to get the desired outcomes from your data, highlighting its important value, risk sensitivity, and compliance requirements. Data classification best practices involve a...

Cybersecurity budget cuts may save money in the short term but raise risks. See how AI threats and economic pressure drive cybercrime.

What are the best ways to avoid and mitigate phishing attacks? We asked a panel of experts how not to fall victim to this popular cyberattack.

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.