The Deepest Metadata Support for Data Labeling

Flexible, purpose-built data protection solutions to identify, classify, and secure your unstructured data

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Fortra’s Data Classification Suite (DCS)


Fortra’s Data Classification Suite provides the essential tools to clearly inform both your people and your policies on what data should be secured and how to handle it.

  • Multi-layered tagging allows for an unlimited number of actionable identifiers to improve policy
  • Visual markings enable compliance with the strictest of government regulations.
  • Persistent identification metadata stays with the data, allowing smooth integration into downstream security solutions.


The Definitive Guide to Data Classification

Infosec professionals will perennially be challenged with more to do than time, budget, and staffing will allow. The most effective method to address this is through prioritization, and in the case of your growing data, prioritization comes from data classification.

In this guide you will learn what classification is, why it is important, even foundational to data security, and much more.

The definitive guide to data classification

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What do Fortra’s Data Classification Suite Customers Say?



Guide: How Metadata will Accelerate your Data Protection Strategy


  • Reduces false positives
  • Provides additional context for faster security analysis origin, time of day, and user
  • Data classification metadata enables a defined, persistent classification label and metadata, which stays with the file regardless of repository type.

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At DND, we need to be on the cutting edge of information security technology, and classification is a key component of ensuring that information is carefully controlled by all of our employees. Implementing these (Fortra) products has enabled us to leverage our existing Microsoft infrastructure and proven easy for our staff to use on a daily basis.

Eyad Zorob, Sr Tech Officer, Canadian Dpmt National Defence

We're helping many of the world’s most successful organizations take control of their data

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