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
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Tonic Textual how-tos
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Data de-identification

Data de-identification in the finance industry

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Tonic Structural
Tonic Textual
Data de-identification
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Tonic Structural how-tos

Custom sensitivity rules to automate sensitive data detection

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

Ensuring data privacy with privacy rankings in Tonic Structural

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Tonic Structural
Tonic Structural how-tos
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Data de-identification

Understanding automated data redaction

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Tonic Textual
Data de-identification
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Data synthesis

Guide to data privacy compliance for financial institutions

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Tonic Structural
Tonic Textual
Data synthesis
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Data privacy in AI

The role of NER in GDPR compliance and beyond

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Tonic Textual
Data privacy in AI

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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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.