Mask Sensitive Data Community Version

The database sits unlocked. Strings of names, emails, and account IDs spill through API calls. Sensitive data leaks happen fast when masking isn’t built into the workflow. The fix is not complex, but it must be precise.

Mask Sensitive Data Community Version gives you that precision without cost. It enforces structured masking policies directly where the data lives. You define what fields should be obscured—birthdates, credit card numbers, session tokens—and it rewrites them before they leave the system. No separate scripts. No batch jobs. No lag.

The community version runs lightweight. Install from source or package, connect it to your datastore, and apply rules in a few lines of config. Masking jobs stream inline so production traffic flows without delay. The engine supports JSON, CSV, SQL query results, and direct API responses. This makes it effective for microservices, ETL pipelines, and staging environments.

Mask Sensitive Data Community Version works with most relational and NoSQL databases. PostgreSQL, MySQL, MongoDB, and Elasticsearch are supported out-of-the-box. It integrates with CI/CD pipelines to apply masking in test environments before a single byte reaches a developer’s laptop. Role-based controls prevent anyone without clearance from toggling masking rules. Audit logs store every change for compliance.

This platform is built for security and speed. It scales horizontally, handles millions of records per minute, and can be deployed on-prem or in the cloud. The codebase is open, so advanced users can extend field recognition, add new data formats, or connect to proprietary systems.

Sensitive data deserves more than good intentions. It demands a tool that enforces policy every time the data moves. Mask Sensitive Data Community Version gives that control, and it’s ready to run.

See it live in minutes at hoop.dev.