Data Classes

Data classes and classification methods

Built for security with predefined classes that identify regulated and sensitive data, developer secrets, composite data classes, and advanced capabilities for scanning metadata and creating custom data classes.

Schedule demo

Content

Identify data risk at scale with 200+ predefined data classes designed for unstructured, semi-structured, and structured data, tested with Mockingbird and assisted by AI. Content data classes are grouped into distinct collections — developer secrets, personal, healthcare, financial, and global (GPS coordinates, VINs, IP and MAC addresses, and more).

Composite

Discover and assess the security posture of assets containing data class combinations that signify highly sensitive, regulated, or toxic data such as the presence of multiple direct personal identifiers, or direct personal identifiers and IP or MAC addresses.

Metadata classification

Often automatically generated by the application that produced the file, scanning file metadata can quickly identify potentially at-risk unstructured data assets that may require deeper scans. Efficiently profile large data stores by scanning for sensitive file extensions such as CAD files, geographic coordinates, or business-specific data sensitivity classifications.

Custom

Fully customizable data classes that support internal policies or business-specific data types using a combination of regex, keywords, keyword adjacency, and an optional validator API to confirm/deny the match. Design data classes for content or metadata, incorporate match patterns, keywords, and customize the preview generation method.

Data classes and classification methods

Content

Composite

Metadata classification

Custom

Related

Ready to get started?