Platform Vision
Secure, production-like development workflows
Open-source Test Data Management and Data Anonymization platform focused on enabling organizations to safely use realistic data in development, testing, staging, and AI-assisted engineering environments without exposing sensitive information.
Core Principles
- Stateless architecture
- In-flight anonymization
- No persistent storage of raw production datasets
- Production-like development workflows
- Subset-oriented data pipelines
- Extensible transformation system
- Infrastructure and automation friendly
What Greenmask Provides
Data Anonymization
Transform sensitive production data during logical dump workflows using configurable masking and transformation pipelines.
Test Data Management
Create secure production-like datasets for development, testing, staging, CI pipelines, and ephemeral environments.
Subsetting
Extract only the required portion of production data while preserving relational consistency.
Synthetic Data Generation
Generate realistic synthetic values and replacement datasets for non-production environments.
Secure Development Workflows
Reduce the operational and security risks associated with long-lived raw production copies in lower-trust environments.
Architecture
- Data is processed in-flight
- Transformations are executed directly within the dump stream
- Sensitive raw datasets do not need to be persistently stored unmasked
Future Platform Vision
Greenmask — together with Solanica and OpenEverest — is evolving toward a platform designed for secure, production-like, ephemeral development environments, with open-source, enterprise-grade infrastructure for modern software delivery workflows. Our long-term direction combines:
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- Test Data Management (TDM)
- In-flight anonymization
- Ephemeral environments
- API-first infrastructure workflows
- AI-assisted development workflows
- DBaaS and infrastructure integrations
