Improving DLP accuracy with Titus Data Classification
This white paper explores the many ways in which Titus complements DLP technologies:
- Understanding context based on machine learning algorithms and user feedback
- Adding intelligent metadata that other security solutions can access
- Applying metadata to define context of information
- Offering flexible schemas for unlimited, customized data classification and information handling policies
This paper also shows how application of metadata at creation makes data identification much more accurate. Classifying data at creation empowers organizations to move from watch mode to true data protection mode where data privacy and security policies can be applied more strategically.
Download this paper to learn how Titus enables DLP technologies to piggyback onto Titus policies, with deep customization options that can accommodate virtually any requirement, even in the most sophisticated enterprise or governmental environments.