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Data masking and data governance: Ensuring data integrity

Safeguarding data is a fundamental function of data governance—and that extends to the data used by developers. But how do you maintain test data utility when masking sensitive information?

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Tonic Textual available as Snowflake Native App to enable secure AI development

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Amazon RDS vs Tonic Ephemeral for test databases in the cloud

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Achieving test data management totality: the difference between total coverage and "close enough"

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Tonic.ai product updates: April 2024

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How to de-identify legal documents with Tonic Textual

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Top 5 risks of not redacting sensitive business information when machine learning

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Subsetting data for ephemeral environments to streamline developer productivity

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Tonic.ai product updates: March 2024

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De-identifying Salesforce data for testing and development. Tonic Structural now connects to Salesforce

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De-identifying test data: K2View’s entity modeling vs Tonic’s native modeling

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Tonic Validate is now on GitHub Marketplace! (Part 2)

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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.