Data Protection & Test Data

Maya Dynamic Data Masking

Mask sensitive data in query responses according to access policies. Keep stored production values unchanged while controlling what users can see.

How it works

Dynamic masking applies when production data must remain intact but different users need different views of it. Rules determine whether sensitive values are shown or masked in database responses.

Clients connect to the MAYA proxy by changing the database connection IP address and port. Users keep tools such as SSMS, SQL*Plus and SQLCMD, and connection libraries such as JDBC and ODBC, without additional client software.

Features

What you get

  • Multi-tenant supported
  • Distributable
  • Platform independent
  • Multi-language support
  • No database agent installation
  • No database version change
  • No data storage
  • No protocol change
  • No client change
  • Multi-database one-console visualization
  • Analytics on available client information
  • SQL auditing
  • CEP supported
  • Independent from amount of data
  • Dynamic rule deployment
  • Multi-layer interception
  • Asynchronous communication
  • Analytics on available events
Benefits

Built to deliver value

Understand your data

Bring sensitive data into view so teams can plan appropriate protection.

Support everyday workflows

Apply discovery, masking and monitoring to development and operational needs.

Work from one console

Review reports and manage rules across supported data sources.

Support audit preparation

Use reports and activity records as inputs to your audit processes.

Supported databases

Works with your data sources

Oracle
MS SQL Server
Sybase
PostgreSQL
MySQL
MariaDB
SAP HANA
MongoDB
IBM Db2

Ready to protect your data?

Talk to our team about discovery, masking and compliance — or partner with us to deliver data security at scale.