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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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Four ways to generate fake data that aren’t working as well as you think

Test data management
Test data management

Anonymizing your data in Db2 for better testing and development

Technical deep dive
Technical deep dive

We raised a $35M Series B. Here's what's next for fake data.

Tonic.ai editorial
Tonic.ai editorial

Dockerize Mongo to get consistent data across your development environments

Technical deep dive
Technical deep dive

How to create realistic, safe, document-based test data for MongoDB

Technical deep dive
Technical deep dive

Generating high quality test data for MySQL through de-identification and synthesis

Data de-identification
Data de-identification
Test data management

Why I joined Tonic.ai: A business grad's perspective amid the pandemic

Tonic.ai editorial
Tonic.ai editorial

What is data synthesis, and why are we calling it data mimicking?

Technical deep dive
Technical deep dive

June ‘21 product update: support for all the databases

Product updates
Product updates

Anonymization techniques defined: transforming real data into realistic test data

Technical deep dive
Technical deep dive

How to generate safe, useful test data for Amazon Redshift

Technical deep dive
Technical deep dive

5 traditional approaches to generating test data

Technical deep dive
Technical deep dive

Build better and faster with quality test data today.

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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.