Creating realistic, secure test data for Databricks

Creating realistic, secure test data for Databricks

Databricks is a data analytics platform built to handle the scale and complexity of today’s data. Learn how Tonic integrates seamlessly with Databricks to generate synthetic test data based on production data that is both complex enough to be valuable and secure enough to protect user privacy ... Read More
What is data privacy in healthcare? Everything you need to know

What is data privacy in healthcare? Everything you need to know

Data privacy in healthcare is more important than ever, but few people fully understand how it works and why it’s necessary. Learn more about what data privacy in healthcare means and how medical organizations practice it in this detailed guide ... Read More
RAG evaluation series: validating the RAG performance of Amazon Titan vs Cohere using Amazon Bedrock

RAG evaluation series: validating the RAG performance of Amazon Titan vs Cohere using Amazon Bedrock

This is the fourth installment in a multi-part series on evaluating various RAG systems using Tonic Validate, a RAG evaluation and benchmarking platform ... Read More

Reverse engineering your test data: It’s not as safe as you think it is

Not all approaches to data de-identification and anonymization are created equal. Many approaches leave your data exposed to the very real risk of re-identification. Here's how that can happen and how to avoid it ... Read More
Daft Punk - Harder, Better, Faster, Stronger (Official Audio)

What is the role of data synthesis in my CI/CD pipeline, anyway?

The short answer? Adding data synthesis to your CI/CD pipeline makes your processes better, faster, and more efficient ... Read More

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

A business's data is one of its most valuable assets. Protecting this asset is paramount, especially in machine learning use cases. This post dives deeper into one well-known technique to protect sensitive data called redaction ... Read More
Tonic.ai product updates: April 2024

Tonic.ai product updates: April 2024

SQL Server support on Tonic Ephemeral, Db2 LUW on Tonic Structural, LLM synthesis in Tonic Textual, and expanded LLM access in Tonic Validate! Learn more about all the latest releases from Tonic.ai ... Read More
Tonic.ai product updates: July 2024

Tonic.ai product updates: July 2024

Textual's Pipeline workflow preps your data for AI, Structural's sensitivity scan is now customizable, and Ephemeral can be deployed on Azure or Google Cloud! ... Read More
Test your apps with high-fidelity, production-like data with Release and Tonic

Test your apps with high-fidelity, production-like data with Release and Tonic

In this guest article from Release CTO and co-founder Erik Landerholm, Release shares best practices on getting production-like data in your lower environments by way of their new integration with Tonic ... Read More
Tonic.ai product updates: February 2024

Tonic.ai product updates: February 2024

Tonic Ephemeral launches with free trials, Tonic Textual supports expanded file types, and database view has a brand new look 👀 ... Read More