Radius SQL Data Masking

Radius SQL Data Masking lets you protect fields without rewriting application logic. You define rules once. Names, emails, phone numbers, credit cards—masked in real time before leaving the database. It works on live systems and does not slow queries. Masked values keep their format so downstream systems run without error.

The core of Radius SQL Data Masking is its policy engine. Policies target specific tables and columns. You choose static masking, dynamic masking, or conditional masking. Static masking replaces physical data in storage; dynamic masking alters the output at runtime. Conditional masking applies when certain roles or contexts match your rules. All options integrate directly into SQL workflows and can be deployed with standard schema migrations.

Radius also supports granular role-based permissions. Administrators can grant full visibility, partial masking, or full masking based on security roles. This closes the gap between compliance requirements and developer productivity. GDPR, HIPAA, PCI-DSS—Radius SQL Data Masking aligns with these regulations by restricting access to personally identifiable information while keeping it usable for analytics.

Performance matters. Radius applies masking functions at the database engine level, reducing latency compared to middleware or application-side masking. Tests show negligible impact even under heavy concurrency. You can add or update masking policies without downtime.

Installation is simple. Connect Radius to your database, define your masking policies in SQL or via the Radius interface, and push them live. Auto-discovery of fields speeds setup. Audit logs track every masking operation for transparency.

Data breaches and internal overexposure are preventable. Masking is not optional—it is table stakes. Radius SQL Data Masking puts the control back in your hands.

See how Radius SQL Data Masking works with hoop.dev—spin up a live demo in minutes and watch your sensitive fields vanish from prying eyes.