Data anonymization for the artifacts teams actually share

Not always. Many operational pipelines use pseudonymization (e.g., deterministic hashing) to preserve joinability. True anonymization depends on your threat model, data, and governance.

Yes. Rules can be enabled/disabled, ordered by priority, and configured with different actions (replacement, masking, hashing, etc.) depending on the match.

Yes. DataPrivix is designed for file- and folder-based inputs, including archives, while preserving structure in the output.

Use a preview-style workflow and synthetic examples first, then validate on representative samples in your environment before scaling.

Yes. The product is designed for offline-first usage and can be deployed via wheel or Docker.