The data synthesis guides for software and AI teams

Featured guide

What is Synthetic Data?

Synthetic data replicates the patterns of real data while removing all sensitive details, giving teams safe, high-quality datasets for development and testing.

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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 privacy in AI

Safeguarding data privacy while using LLMs

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Tonic Textual
Data privacy in AI
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Data de-identification

What is data de-identification?

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

Understanding model memorization in machine learning

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Tonic Textual
Data privacy in AI
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Tonic Structural how-tos

Using Tonic Structural and the Safe Harbor method to de-identify PHI

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Tonic Structural
Tonic Structural how-tos
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Tonic Structural how-tos

Maintaining data relationships in Structural generation output

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Tonic Structural
Tonic Structural how-tos
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Tonic Structural how-tos

Integrating Tonic Structural into your data refresh and CI/CD pipelines

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Tonic Structural
Tonic Structural how-tos

Make your sensitive data usable for testing and development.

Unblock data access, turbocharge development, and respect data privacy as a human right.
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