Compare Mage Sensitive Data Discovery vs. Titus Classification Suite in 2025

Titus Classification Suite

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Description

Mage Sensitive Data Discovery module can help you uncover hidden data locations in your company. You can find data hidden in any type of data store, whether it is structured, unstructured or Big Data. Natural Language Processing and Artificial Intelligence can be used to find data in the most difficult of places. A patented approach to data discovery ensures efficient identification of sensitive data and minimal false positives. You can add data classifications to your existing 70+ data classifications that cover all popular PII/PHI data. A simplified discovery process allows you to schedule sample, full, and even incremental scans.

Description

Meeting the demands of various new global data privacy laws and regulations is crucial for robust cybersecurity, and initiating data classification is the foundational step in establishing an effective data protection strategy. The suite of Titus Classification products offers vital resources that provide clear guidance to both personnel and regulations regarding which data must be safeguarded and the appropriate methods for its management. You can oversee and secure your data using the most adaptable and customizable classification metadata schema available in the industry. By giving your data context, you enable both individuals and automated systems to comprehend the proper handling of the information. It acts as a classification and policy enforcement mechanism, ensuring that every Microsoft Office document is appropriately classified before it can be saved, printed, or emailed. Additionally, every email must receive classification and protective marking before dispatch. Users can classify and secure any file type with just a few clicks in Microsoft Windows Explorer, significantly enhancing the protection of your organization. This streamlined process not only simplifies compliance but also fosters a culture of data awareness and responsibility among employees.