Overview
DTEX data classification pairs content-based classification with behavior-based classification to find regulated data and unstructured intellectual property that existing methods may miss. It supports traditional classification and blocking, then adds a behavior-based method for unstructured data.
The behavior-based model identifies sensitive information without inspecting the data itself. It builds a digital fingerprint from file heuristics, so it can classify videos, source code, images, and text instead of relying on text alone.
DTEX combines user and entity behavior analytics with data loss visibility in a single lightweight solution. Each file gets a sensitivity score based on who uses it, how it is accessed, its name, size, variations, and folder or directory.
What You'll Learn
- How DTEX risk-adaptive DLP supports traditional classification and uses behavior-based classification for unstructured data.
- How digital fingerprints use file heuristics to classify videos, source code, images, and text.
- How DTEX assigns file sensitivity scores from user behavior, access patterns, file attributes, variations, and location.
- How native content-based classification identifies patterns, keywords, regular expressions, content fingerprints, file store locations, and regulated sensitive data matches.
Frequently Asked Questions
What is DTEX data classification for risk-adaptive DLP?
DTEX data classification for risk-adaptive DLP combines content-based and behavior-based classification to identify regulated data and unstructured intellectual property. It supports traditional classification and blocking, then adds a dynamic method for unstructured data that existing methods may miss.
How does DTEX behavior-based classification work?
DTEX behavior-based classification identifies sensitive information without inspecting the data itself. It uses a digital fingerprint built from file heuristics to classify file formats such as videos, source code, images, and text.
What factors does DTEX use to assign file sensitivity scores?
DTEX assigns scores from user behavior, access patterns, and file attributes. Factors include unique users and behaviors, users accessing the file, file name, file size, file variations, and folder or directory.
What types of data can DTEX classify?
DTEX can classify regulated data and unstructured intellectual property across file formats. Behavior-based classification covers videos, source code, images, and text. Native content-based classification identifies regulated sensitive data matches.
What content-based classification capabilities are included in DTEX?
DTEX native content-based classification identifies patterns, keywords, regular expressions, content fingerprints, file store locations, and regulated sensitive data matches. These capabilities support traditional classification alongside behavior-based classification for unstructured data.
Ready to Learn More?
See how the DTEX Platform helps teams detect and mitigate insider risk. Request a demo.