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.

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.

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

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

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...

Electronically Stored Information (ESI) refers to any data created, modified, communicated, or stored in digital form. This includes emails, documents, databases, instant messages, audio and video files, social media content, and more—essentially any information that resides in electronic systems. As digital communication and data storage have become the norm, ESI plays a pivotal role in legal...

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...

Discover what a CMMC audit involves, how it ensures compliance for defense contractors, and how it differs from other cybersecurity audits.

Data resiliency refers to a data system's ability to recover quickly and smoothly after a disruption.

Data Leak Prevention encompasses strategies and tools designed to safeguard sensitive data from unauthorized access, use, or disclosure.

Data erasure, or data wiping, is a software method that securely overwrites and destroys all electronic data on a disk drive or digital media.

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

Data loss is the unintentional deletion, corruption, or inaccessibility of critical data due to various causes preventing user access.

The modern data stack is a cloud-based toolkit for collecting, transforming, storing, and analyzing data efficiently using advanced technologies.

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