Overview - Bytebase Docs

Tutorial: Step-by-Step Guide to Data Masking

Dynamic Data Masking (DDM) can mask sensitive data in the SQL Editor query result based on the context. It helps organizations to protect sensitive data from being exposed to unauthorized users.

You can configure the masking policies from UI or via API. Check out this GitOps example to see how to codify the masking policies.

Configure Dynamic Data Masking

Workspace-level admins configure the Global Masking Rule, Semantic Types, and Masking Algorithm.
Project-level owners configure the Column Masking on the table column. This is only needed when the global masking rule is not applicable to a particular project.
Workspace-level admins or project-level owners grant

Tutorial: Step-by-Step Guide to Data Masking

​Configure Dynamic Data Masking

Configure Dynamic Data Masking