The data synthesis guides for software and AI teams

Featured guide

Preventing data breaches in AI systems

Learn how to reduce risk and protect sensitive information with practical strategies for preventing data breaches in AI systems. Discover solutions with Tonic.ai.

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Data de-identification
Data synthesis
Test data management
Data privacy in AI
AI model training
Developer productivity
Tonic Structural how-tos
Tonic Textual how-tos
Tonic Fabricate how-tos
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Data privacy in AI

PII compliance checklist: how to protect private data

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Tonic Structural
Tonic Textual
Data privacy in AI
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Data de-identification

Real-world applications of format preserving encryption

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Tonic Structural
Data de-identification
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Data de-identification

Data masking for the insurance industry: a guide

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Tonic Structural
Data de-identification
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Data synthesis

What is a rule-based test data generator?

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Tonic Structural
Tonic Textual
Tonic Fabricate
Data synthesis
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Test Data Management

Data masking’s role in leveraging production data for testing and development

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Tonic Structural
Test Data Management
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Tonic Fabricate how-tos

Uploading and referencing production data in a synthetic dataset, with Tonic Fabricate

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Tonic Fabricate
Tonic Fabricate how-tos

Make your sensitive data usable for testing and development.

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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.