🛡️ On-Premise Architecture
Runs entirely within your internal network—no cloud dependencies, no external exposure. Sensitive production data stays protected, and your organization retains full control.
🧼 Data Sanitization Templates
Built-in templates for names, emails, addresses, and more make it easy to obfuscate personal and regulated data while preserving realistic structure and behavior.
🧠 Schema-Aware Scrubbing
Understands your database schema and applies transformations that maintain referential integrity, realistic formatting, and behavioral fidelity.
🚫 No Production Exposure
Sanitized data is generated without ever querying or exposing live production environments, eliminating the risk of leakage or unauthorized access.
🧪 Realistic Test Data
Sanitized datasets retain the shape, distribution, and behavior of real data—so developers can test confidently without compromising privacy.
🔄 Standalone Execution
Operates as a standalone process, initiated and controlled by IT teams. No developer intervention or code changes required.
✅ Compliance-Ready
Supports internal governance and external mandates like GDPR, HIPAA, and SOC 2 by ensuring sensitive data never reaches non-production environments.
🔍 Transparent and Auditable
Every scrub operation is traceable, with clear logs and predictable behavior—ideal for audits, security reviews, and executive reporting.
SQL Scrub vs. Manual Sanitization
| Feature | SQL Scrub | Manual Sanitization |
|---|---|---|
| Data Protection | Automated obfuscation | Custom scripts |
| Production Data Exposure | Never touches live data | Risk of leakage |
| Schema Fidelity | Maintains structure | Often breaks relationships |
| Auditability | Transparent logs | Limited traceability |
| Compliance Alignment | GDPR, HIPAA, SOC 2 | Manual mapping required |
| Security Posture | Reduces attack surface | Increases risk |