Continuous Compliance in DCT enables organizations to discover, classify, and protect sensitive data across databases and data environments. It provides tools to identify sensitive information and apply masking algorithms that transform the data while preserving its structure and usability.
By automating discovery and masking workflows, DCT Compliance helps organizations reduce the risk of exposing sensitive data in development, testing, analytics, and other non-production environments.
In this guide
This documentation walks through the process of configuring and running compliance workflows in DCT.
Configure data sources
Set up connectors and prepare databases so DCT can access and scan data environments.
Identify sensitive data
Discover and classify sensitive information using classifiers, data classes and discovery policies.
Secure sensitive data
Protect sensitive data by configuring masking algorithms and assigning them to sensitive columns.
Run compliance jobs
Create and execute compliance jobs to apply masking rules and transform sensitive data.
Migrate existing jobs
Bring eligible jobs from connected Compliance Engines under DCT management. See Migrate jobs from Compliance Engines to DCT.