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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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Can you generate realistic data with GPT-3? We explore fake dating with fake data

Technical deep dive
Technical deep dive

How to create realistic test data for Databricks with Tonic.ai

Product updates
Product updates

5 common data security challenges businesses face and how to overcome them

Data privacy
Data privacy
Data de-identification
Test data management

Data masking vs. encryption: what’s the best way to protect my data?

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

What is data subsetting? The art and science of only using the data you need

Test data management
Test data management
Data privacy

How to create realistic test data for Amazon Redshift

Test data management
Test data management
Data de-identification

How does differential privacy work? Plus, how to know if your organization needs it!

Data privacy
Data privacy

What is data privacy in healthcare? Everything you need to know

Healthcare
Healthcare

What is the role of data synthesis in my CI/CD pipeline, anyway?

Test data management
Test data management
Data de-identification

How to integrate Tonic.ai into your CI/CD pipeline with Jenkins

Technical deep dive
Technical deep dive

Creating fake data for testing in Snowflake? You should be using Tonic. Here’s why.

Product updates
Product updates

How to mask data for testing in MongoDB

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.