Introducing OwlMask: Product Walkthrough Guide

This walkthrough introduces the core OwlMask workflow: connecting a source database, defining masking rules, running a job, and validating that lower environments receive safe test data.

Video Chapters

• 00:00 — Why safe test data matters: The operational and compliance reasons to mask before data reaches lower environments.
• 00:24 — Connecting your database: How OwlMask connects to PostgreSQL, MySQL, or SQL Server and maps the schema read-only.
• 00:42 — Discovering PII: Automatic classification of sensitive columns with confidence scores and a human review queue.
• 01:06 — Masking rules: A practical look at synthetic values, format-preserving transformations, and deterministic masking.
• 01:36 — Referential integrity: How keys are remapped consistently so foreign keys still join after masking.
• 01:56 — Readiness and execution: The pre-run readiness assessment, followed by the masking job itself.
• 02:20 — Validation: Re-scanning the masked output to prove no PII remains.

Next Steps

Use the documentation to start setting up your first masking project. The recommended path is to configure connections, classify sensitive fields, then run validation before provisioning data.