Learn how Fortra’s Data Classification Suite provides tools to remove these concerns by adding context to data so your security ecosystem can be better equipped to make accurate and effective data security decisions.
- Case Studies
- Solution Briefs
- Webinars On-demand
- White Papers
Learn how Fortra’s Data Classification Suite helps you meet the obligations of the Swiss Financial Market Supervisory Authority FINMA Principles of Confidentiality for Client Identifying Data (CID).
Fortra’s Data Classification Suite provides a range of data detection methods, which, when used in conjunction, build the most robust security programs available.
The Data Classification Suite and Secure Collaboration integration employs a powerful combination of enterprise-grade classification and file-level security.
Fortra’s Data Detection Engine is a solution that helps organizations accurately identify personal identifiable information (PII) and offer suggestions for, or even automatically determine, how to handle such information.
Learn how Fortra solutions are flexible enough to enable organizations at any stage in their privacy protection journey to comply with all regulations.
Read the guide and learn how data classification helps organizations comply with CUI.
Using Titus Classification and Netskope together allows enterprises to embrace the cloud while ensuring sensitive information is not at risk.
This Solution Brief describes how Titus empowers enterprises to make intelligent, deliberate decisions about how to handle sensitive information uploaded to or stored in Box.
The joint Forcepoint DLP and Titus Classification solution combines the user and the strengths of DLP, as part of a Corporate data protection strategy.
Read the solution brief to learn why organizations embrace Titus to transform their security culture and set the foundation for their information protection strategy program.
Learn how to protect personal data in accordance to Singapore’s Personal Data Protection Act (PDPA) with Fortra’s Data Classification Suite.