Inside DBlur: A Deep Dive Into Wayfare’s Data Anonymization Tool

Introduction

Behind every powerful anonymization tool is a thoughtful architecture—and DBlur is no exception. Let’s explore what makes this Wayfare-developed solution a standout for Progress databases.

Built for Progress, Built for Performance

DBlur is tailor-made for Progress environments, handling the nuances of schema structure and data interdependencies with ease.

Flexible Anonymization Modes

Whether you want randomized fields or encrypted outputs, DBlur’s strategies include:

Random: Great for numeric fields
Fixed: Preserves consistency across anonymization runs
Composed: Replaces values using templates like full addresses
Encrypted: Enables reversible anonymization when needed

Dynamic Dictionaries for Realism

Replace “John Smith” with something far more believable—like “Ionuț Petrescu.” DBlur uses customizable dictionaries to inject realism into masked data.

Monitoring and Control

With a sleek dashboard and parallel processing capabilities, you can monitor and scale performance across large datasets.

Conclusion

DBlur offers more than compliance—it’s a developer-friendly, high-performance privacy partner designed to keep your Progress data GDPR-safe and functional.