About Tonic.ai
Tonic.ai assists development and data teams by solving the problem of using production data safely. The workflow involves connecting to a source database, configuring transformation rules or letting AI discover sensitive fields, generating a synthetic or masked subset/full copy, validating data quality, and provisioning the dataset to development, testing, or analytics environments. It maintains realistic distributions and relationships while ensuring compliance. Additional functions include versioning and CI/CD integration. Plans differ in data volume processed, number of environments, and advanced AI features.
How does Tonic.ai actually work for creating safe test data from a production database?
We are a healthcare software company and one of our persistent challenges is that our developers and QA team need realistic test data but we cannot use actual patient data in non-production environmen...
Tonic Textual redacts PII from unstructured text and logs and that was the gap our data pipeline had
Round 1 of this topic mostly covered Tonic Structural for database de-identification. I want to write about Tonic Textual specifically because it addresses a different and in some ways harder problem....
Tonic.ai generates realistic fake data for testing so your production database never goes near your dev environment
If you work with production data in development and testing environments you already know this is a problem. Real customer records, real PII, real financial data sitting in environments with looser ac...
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