Test data as code: YAML rules, Git versioned, & CI/CD ready
Test data bottlenecks kill velocity. Teams wait days for data refreshes or secretly use production. GoMask delivers instant, compliant test data through schema-aware masking and AI synthesis. Minutes, not days. Compliance built-in, not bolted on.
GoMask's automated discovery continuously scans databases to identify and classify PII, PHI, and secrets with ML-powered detection and risk scoring. Exportable compliance reports and audit trails provide auditors with traceable records of all masking and transformation operations.
GoMask integrates natively into CI/CD pipelines and provides instant API access, CLI, and UI-based generation. Real-time preview and one-click deployment eliminate waiting for database refreshes, reducing typical 48-hour cycles to under 10 minutes.
GoMask's AI-powered synthetic data generation creates statistically accurate datasets with complex relationships, foreign keys, and edge cases. Teams can scale data volume up to 100x for load testing and generate specific scenarios without touching production data.
GoMask applies format-preserving encryption, hashing, and redaction to mask sensitive fields while maintaining referential integrity and data structure. Deterministic masking ensures consistent outputs across distributed systems, and all operations are logged for audit trails.
GoMask as Code enables developers to define masking and synthetic data rules in YAML, version-control them in Git, and deploy automatically through GitHub Actions, GitLab CI, or Jenkins. Every rule change is audited and compliant by default, eliminating manual data prep and compliance risk.