GoMask.ai

GoMask.ai is the AI-powered platform designed to eliminate the crippling bottlenecks and regulatory exposure caused by slow, traditional test data provisioning. By integrating advanced data masking and realistic synthetic data generation directly into your development pipeline, GoMask transforms test data from a compliance liability into an automated asset. Built specifically for developers, DevOps teams, and QA professionals, GoMask ensures you can ship faster, securely, and with guaranteed compliance.

Key Features

GoMask brings test data management (TDM) out of siloed processes and directly into your engineering workflow, fostering speed and audit-readiness by default.

💻 Git-Native Test Data Management (GoMask as Code). Define all masking and synthetic data rules using YAML configuration files, commit them alongside your schema changes in Git, and deploy automatically via CI/CD. This unique approach ensures full traceability, version control, and zero data drift, allowing you to treat privacy rules like code.

🛡️ Intelligent Data Masking & PII Detection. Transform sensitive production data into safe, compliant test datasets in seconds. GoMask's AI automatically detects new PII fields and suggests robust masking patterns, ensuring data relationships (referential integrity) are rigorously maintained while guaranteeing compliance with standards like GDPR, HIPAA, and SOX.

🧬 Statistically Accurate Synthetic Data. Generate unlimited volumes of production-quality, statistically accurate test data from scratch. Perfect for testing new features, scaling performance tests, and creating rare edge cases that real data may not cover, ensuring comprehensive test coverage without relying on or risking real customer information.

✅ Automated Audit-Ready Compliance. Every masking rule, configuration change, and data transformation is logged and version-controlled within your Git history. This provides compliance teams with instant transparency and a complete, automated audit trail, eliminating the need for manual spreadsheet compilation during regulatory reviews.

Use Cases

GoMask removes the hidden cost of test data, enabling teams to move with unprecedented velocity and confidence.

Accelerate QA Cycles by 90%

Eliminate the frustrating 3–5 day waits for database refreshes. A QA team can define a new, highly specific dataset rule in YAML or via the visual interface, commit it, and provision a fully compliant, production-like dataset in under 10 minutes. This shifts data provisioning from a multi-day bottleneck to an on-demand, self-service utility, enabling faster regression and feature testing.

Enforce Automated Privacy in CI/CD

Integrate GoMask as Code directly into your existing CI/CD tools (like GitHub Actions or Jenkins). Every time a developer pushes a schema change, the corresponding data masking and synthetic generation rules are automatically applied before the new environment is spun up. This ensures that staging and testing environments are provisioned with secure, compliant data instantly, cutting manual prep time from hours to zero.

Rigorously Test Performance and Scale

Leverage the synthetic data generator to create massive, statistically representative datasets that mimic high-volume scenarios, such as "holiday traffic" or complex financial transactions. You can test system performance and resilience at scale—generating millions of records instantly—without ever introducing the security risks associated with using real cardholder data (PCI compliance).

Conclusion

GoMask transforms test data from a hidden bottleneck and a compliance risk into a driver of velocity and security. By embedding compliance directly into your Git and CI/CD workflows, GoMask ensures every deployment is secure, compliant, and instantly provisioned with realistic data. Empower your engineering teams to ship faster and safer.