AI Tech Secure Database Security vs Greenmask

AI Tech Secure Database Security monitors database activity, identifies SAP-aware bypass patterns, and masks sensitive information. Live monitoring covers direct SQL changes, exports, privileged access, and bypass activity. The product lists 21 pre-built monitoring rules mapped to SOX, GDPR, HIPAA, PCI DSS, and 21 CFR Part 11. In SAP environments, database changes can be correlated with SAP T-codes and CDHDR/CDPOS change documents. Masking supports query-time dynamic protection and static masked copies for development, QA, and UAT. Listed controls include role-based policies, PII and PHI field catalogs, and a masking audit trail. Alerts include exports, bulk access, severity-based escalation, and SIEM integration readiness. Named databases are SAP HANA, Oracle, SQL Server, PostgreSQL, and Snowflake, with additional platforms through the Connector Factory. Deployment is hybrid, and audit reporting and threat detection are listed capabilities. Pricing is on request through a direct B2B sales process.

Greenmask is a free, open-source utility for logical database backups, anonymization, synthetic data generation, and restoration. It currently supports PostgreSQL, with MySQL, MongoDB, and other database support in development. Transformations can be deterministic or random, use dynamic parameters, mask data, or apply custom rules based on domains. Configuration validation can show warnings and data or schema differences, and transformation settings can be inherited across partitions of partitioned tables. Greenmask stores backups in local directories or S3-like remote storage. It supports parallel dumping and restoration, as well as parallel compression with pgzip. Its logical-dump approach does not require changes to the existing database schema, and dumps can be restored with pg_restore. CI/CD integration can automate anonymization and restoration. Greenmask runs on Linux and macOS and can be self-hosted on premises. Installation options include an install script, Docker, Homebrew, or building from source; the install script works on Linux and macOS, while Windows is not supported yet. A Docker Playground with sample databases provides a sandbox for trying the utility. The maker offers paid custom development for urgent or enterprise-specific feature requests.