Autonomous AI for smarter e-signatures
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 AI-powered synthetic data generation creates statistically accurate datasets with configurable outliers, rare scenarios, and load-testing volumes (up to 100x scale) without touching real production data, enabling comprehensive test coverage.
GoMask applies format-preserving encryption, hashing, and redaction to mask PII/PHI while preserving data structure, foreign keys, and business logic. Deterministic masking ensures consistent outputs across distributed systems without exposing real customer data.
GoMask logs every masking, transformation, and access operation with version-controlled rules in Git. Exportable audit reports in JSON, CSV, or PDF format provide instant compliance evidence for internal audits and regulatory reviews.
GoMask generates compliant, production-like test datasets in minutes via UI, CLI, or API, reducing typical 48-hour database refresh cycles to under 10 minutes. Developers can self-serve data generation without waiting for DBAs or compliance reviews.
GoMask as Code enables Git-native YAML configuration of masking and generation rules, integrating natively with GitHub Actions, GitLab CI, and Jenkins. Test data is provisioned automatically during builds with zero manual intervention.