Titus Classification Suite

Additional Info

CompanyTitus
Websitehttp://www.titus.com
Company size (employees)100 to 499

Overview

Titus Classification Suite provides the essential classification tools to clearly inform an enterprise’s people and policies on what information should be secured and how to handle it.

Enterprises can manage and protect their data with the industry’s most flexible and customizable classification metadata schema. Unlike other solutions on the market, Titus Classification Suite brings context to data so people and systems understand how to handle the information.

Titus Classification Suite embeds metadata attributes into email, documents and files at every stage of the content lifecycle and can automatically add visual markings to help organizations meet compliance and legal requirements. Moreover, this metadata is able to be read by a vast number of vendors within the security ecosystem, enabling enterprises to derive more value from their existing security investments, including encryption, data loss prevention (DLP), cloud access security broker (CASB) and identity and access management (IAM) solutions.

How we are different

1) Unlike traditional data classification solutions, Titus Classification Suite uniquely leverages machine learning and regular expression recognition to increase accuracy and reduce friction on end users. These capabilities include pattern matching, data categorization and personal data detection, which are critical elements, particularly for enterprises looking to achieve or maintain compliance with data privacy regulations.
2) Titus Classification Suite supports classification of unstructured data at creation (including documents, files and emails), which experts estimate makes up approximately 80 to 90 percent of the data in any organization. The Suite is also the only classification solution to offer multiple platform support (Windows, Mac, G-Suite and Mobile).
3) Titus Classification Suite is more accurate and adaptable as it includes the ability to change and add policies that may not yet exist. This provides better accuracy, which can be a moving target for most organizations.