The data synthesis guides for software and AI teams

Featured guide

How to develop AI training datasets for compliance and performance

Explore strategies for balancing the compliance and performance of your AI training datasets. Learn how to manage data securely while optimizing accuracy and efficiency.

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Guide series
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 de-identification

Deterministic masking, explained

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Tonic Structural
Data de-identification
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Tonic Fabricate how-tos

Managing access to Tonic Fabricate accounts and workspaces

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Tonic Fabricate
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

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.