Fortra Data Classification

Fortra Data Classification (incorporating Boldon James and Titus classification technologies) is an enterprise data classification and governance platform that enables organizations to identify, categorize, and protect sensitive data across its entire lifecycle. By combining automated machine learning-assisted classification with user-driven visual and metadata labeling, the solution embeds persistent security metadata directly into files and emails at the moment of creation, modification, or sharing across corporate workflows.

The platform provides intuitive classification guidance directly within everyday productivity tools, empowering employees to make informed data-handling decisions while applying mandatory security classifications. Key capabilities include persistent document metadata tagging, visual labeling (such as headers, footers, and watermarks), automated content scanning for regulatory identifiers (such as PII, PHI, and payment card numbers), policy enforcement triggers for downstream DLP and encryption solutions, and centralized audit reporting. The embedded metadata travels with the data across endpoints, cloud storage, and email systems, ensuring downstream controls enforce correct handling rules.

Fortra Data Classification integrates natively with Microsoft 365, Microsoft Office desktop apps, Adobe Acrobat, enterprise DLP engines, cloud storage platforms, and SIEM systems. Common enterprise use cases include meeting GDPR, CMMC, and HIPAA data governance mandates, preparing enterprise data for safe cloud migration, boosting the accuracy of downstream DLP and encryption filters, and fostering an organizational culture of data security awareness. Fortra Data Classification establishes a reliable foundation for enterprise Zero Trust data protection.