Fortra Data Classification

Flexible identifiers for metadata-driven policy enforcement, compliance, 
STANAG adherence, and more.

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Fortra Data Classification enables NATO member countries to more easily conform with strict STANAG requirements, enabling secure communications and interoperability.

 

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Classifying and Labeling Sensitive Files on the Endpoint (DCS) Interactive Demo

What Makes Fortra Different

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Classification at Creation

Organizations reap the most benefits from their data classification solution when labels are applied to their documents and other data at the point of creation. But users are often prone to mishandling or misclassifying that data, particularly when compliance requirements are complex or security policies are unclear. Fortra Data Classification delivers policy guidance via alert dialogues that prevent inappropriate actions and reinforce security awareness training.

Persistent Classification Labels

Even when classification labels are applied early in the data lifecycle, however, those labels are most useful when they travel with the data as opposed to only existing within the system that applied the labels. Fortra Data Classification applies persistent labels and enriches metadata with context like data origin, time of day, and user actions — all of which can be leveraged by downstream security tools, create traceable records for compliance audits, and inform policy enforcement across boundaries.

Classification of Data at Rest

While classification at the point of creation is ideal, the reality is that organizations have an ever-growing volume of data at rest, and many standalone data classification solutions are unable to retroactively discover and classify that data. Our solution scans on-premise file shares and SaaS storage solutions like Microsoft SharePoint, SharePoint Online, OneDrive, Box, and Dropbox, automatically applying persistent labels to the data it discovers.

Intelligent Protection

Fortra Data Classification Suite’s (DCS) Intelligent Protection, powered by machine learning, allows IT administrators can train the software to recognize and match company-specific information to the data categories they define. Our industry-proven algorithms identify document categories, enabling organizations to identify and protect company-specific document types such as board-level communications, project plans, M&A communications, or IP in motion and at rest.

Fortra Data Classification Products

Eliminate manual classification with data classification tools that deliver faster, more consistent results. 

Data Classification Suite

Previously known as Fortra’s Titus, Data Classification Suite (DCS) allows you to add rich context to on-prem and cloud data with data classification. DCS offers robust data classification, identification, and reporting, with unlimited classifier fields for ultimate flexibility.

Classifier Suite

Previously known as Fortra's Boldon James, Fortra Classifier Suite offers robust classification for standard office applications like Microsoft Office and Lotus Notes and CAD software like AutoCAD and DraftSight, along with reporting functionality, optional further customization via the Classifier SDK, and more.

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Use Cases by Industry

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Public Sector

Government agencies and defense contractors handle some of the most sensitive defense and intelligence data in existence—and face some of the most stringent handling requirements. Fortra Data Classification helps these organizations and entities apply consistent, policy-driven labels to documents and emails, ensuring that controlled unclassified information (CUI) and classified materials are marked, handled, and shared appropriately. Data Classification provides the foundation for compliant information management and secure messaging to meet specific standards set by regulations like ITAR or CMMC across your entire data environment.

Moreover, Fortra Data Classification also helps organizations align with NATO STANAG principles, enabling consistent labeling, metadata enforcement, and secure information sharing across multinational environments.

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Healthcare

Healthcare organizations must carefully govern access to protected health information (PHI) across a complex ecosystem of systems, users, and third-party partners. Fortra Data Classification enables healthcare teams to identify and label sensitive patient data at the point of creation, ensuring it’s handled consistently and in accordance with regulations like HIPAA and HITECH. 

By embedding persistent metadata into documents and emails, Data Classification also helps downstream security controls prevent unauthorized or accidental PHI disclosures before they occur.

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Financial Services

Financial institutions manage vast volumes of sensitive client and transactional data, making data governance both a regulatory obligation and a business imperative. 

Fortra Data Classification helps financial organizations classify data in alignment with frameworks like PCI DSS, SOX, and DORA, enabling consistent policy enforcement across documents, emails, and file storage. Clear classification labels reduce the risk of accidental exposure and give security teams the context they need to apply the right controls to the right financial data.

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General Data Protection

For organizations subject to broad data privacy regulations like GDPR, CCPA, LGPD, or similar frameworks, knowing what data you have and where it lives is the first step toward compliance. 

Fortra Data Classification helps teams identify and label personally identifiable information (PII) and other sensitive data across their environment, making it easier to enforce retention policies, respond to data subject requests, and demonstrate accountability to regulators, giving your organization the visibility and control needed to manage data responsibly at scale.

Fortra DLP and Data Classification Together

 

Fortra Data Classification’s persistent labels and metadata enable organizations to automate the security tools they already use, meaning they’ll take more accurate and effective data security actions. But some DLP and data classification stacks may lack comprehensive file type coverage, can’t easily align DLP policies with classification schemas, and are limited to protecting endpoints.

The SDK-based integration between Fortra Data Classification and Fortra DLP, however, closes these gaps without increasing the overhead associated with aligning disconnected tools.

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What Our Customers Are Saying

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1,000+ happy customers 
trust Fortra Data Classification.

 

Gartner peer insights

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Data Classification FAQs

Data classification software helps organizations identify, label, and organize sensitive information across on-premises environments, SaaS, and cloud data security solutions. Security teams, compliance teams, and IT leaders use it to see where sensitive data is stored and how it is used. Companies that handle regulated data, such as PII, PCI, or PHI, depend on data classification tools to mitigate risk and meet compliance requirements. 

Data classification tools scan both structured and unstructured data to find sensitive information, using pattern matching and machine learning. Classification tools then automatically label data based on its type, sensitivity, or compliance needs. Many platforms also integrate with DLP solutions and access controls to enforce policies and protect sensitive data across the organization. 

Data classification solutions help organizations meet compliance requirements by identifying regulated data and labeling it consistently across all systems. This makes it easier to follow frameworks such as GDPR, HIPAA, and PCI DSS, as you can track data access, enforce policies, and generate audit reports. Good data classification software also improves data governance by building information inventories and lowering the risk of exposing sensitive data. Many teams pair classification with DSPM security to map sensitive data, identify exposure risks, and track how it’s exposed across environments.

When you compare data classification vendors, pay attention to coverage, accuracy, and scalability. Choose platforms that work with multi-cloud, SaaS, and on-premises systems, and that can handle both structured and unstructured data. Important features are automated classification, policy enforcement, integration with your current data security software, and reporting. Enterprise buyers should also consider how easy the platform is to set up and manage, and the level of vendor support. 

To pick the best data classification platform, first decide what you need it for, like compliance, reducing risk, or improving data visibility. Compare tools based on accuracy, automation, integrations, and scalability. The best platform should align with your current security setup, meet your regulatory requirements, and provide visibility into sensitive data in your systems.