Anonyx provides effortless anonymization for PostgreSQL, MySQL, MariaDB, and SQL Server databases.

What it does

Anonyx clones your production databases into anonymized datasets, preserving referential integrity and automatically detecting Personally Identifiable Information (PII). It measures the risk of re-identification with each run, ensuring your development, testing, and staging environments are refreshed on demand. Integrate Anonyx directly into your CI/CD pipeline without touching your code.

Key features

Referential Integrity Preservation — Ensures foreign keys, constraints, and inter-table consistency are maintained, allowing your tests to run as if they were on production data.
Automatic PII Detection — Scans your database schema and suggests anonymization strategies for sensitive columns, offering six approaches including fake data, masking, and nullification.
Multi-Database Support — Connects seamlessly with PostgreSQL, MySQL, MariaDB, and SQL Server, supporting SQL dump imports or direct connections.
API & Webhooks — Trigger anonymization runs from CI/CD tools like GitHub Actions or GitLab CI, with webhooks notifying your pipeline when anonymized datasets are ready.
Scheduled Runs — Automatically refresh your development and testing environments with recent, secure data without manual intervention.

Use cases

Refreshing development and staging databases with up-to-date, anonymized data for realistic testing.
Integrating secure data anonymization into CI/CD pipelines for automated testing environments.
Generating safe, production-like datasets for QA, UAT, and performance testing.

What makes it different

Anonyx operates at the database level, requiring zero code modifications or dependencies. It offers a measured approach to re-identification risk and provides a fully automated workflow from connection to anonymized data generation.

Frederic HENNINOT

Projects

Anonyx

Frederic HENNINOT

Projects

Anonyx