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AI data breaches in healthcare: protecting patient privacy & trust

Learn how AI data breaches can expose patient privacy and discover ways to protect sensitive healthcare data when training AI models.

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Why I joined Tonic.ai: A software engineer's perspective

Tonic.ai editorial
Tonic.ai editorial

Creating realistic, secure test data for Databricks

Technical deep dive
Technical deep dive

Reverse engineering your test data: It’s not as safe as you think it is

Test data management
Test data management
Data de-identification
Data privacy

Why I joined Tonic.ai: A product manager's perspective

Tonic.ai editorial
Tonic.ai editorial

Spring 2021 product update

Product updates
Product updates

How to create realistic test data for PostgreSQL

Technical deep dive
Technical deep dive

NoSQL vs. SQL: what you need to know

Technical deep dive
Technical deep dive

Using Docker to manage your test database(s)

Technical deep dive
Technical deep dive

Mockaroo and Tonic.ai: Partners in mock data generation

Tonic.ai editorial
Tonic.ai editorial

Your data is safe — math guarantees it!

Technical deep dive
Technical deep dive

Getting the data you want out of JSON with JSONPath

Technical deep dive
Technical deep dive

Database subsetting is not a piece of cake, so we baked Condenser 2.0 just for you

Technical deep dive
Technical deep dive

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Accelerate development with high-quality, privacy-respecting synthetic test data from Tonic.ai.Boost development speed and maintain data privacy with Tonic.ai's synthetic data solutions, ensuring secure and efficient test environments.