Data how-tos, technical overviews, and regulatory recaps.
Quickly building training datasets for NLP applications
Generative AI
How to generate synthetic data: a comprehensive guide
Data synthesis
Data de-identification in the finance industry
Data Masking
Custom sensitivity rules to automate sensitive data detection
Tonic how-tos
Optimizing Oracle database management, part 3: benefits & best practices of ephemeral data environments
Test Data Management
Optimizing Oracle database management, part 2: CDB, PDB, & key features
Test Data Management
Optimizing Oracle database management, part 1: Common challenges & innovative solutions
Test Data Management
Ensuring data privacy with Privacy Rankings in Tonic Structural
Tonic how-tos
The Role of Ephemeral Environments in QA
Test Data Management
Guide to data privacy compliance for financial institutions
Data synthesis
Understanding automated data redaction
Data Masking
The Role of NER in GDPR Compliance and Beyond
Generative AI
Security for Tonic.ai cloud products
Tonic how-tos
Top 5 trends in enterprise RAG
Generative AI
What is model hallucination?
Generative AI
What is a database on demand?
Test Data Management
Understanding Named Entity Recognition (NER) models
Generative AI
Safeguarding data privacy while using LLMs
Generative AI
What is data de-identification?
Data Masking
How to create database subsets for ephemeral environments
Tonic how-tos
Understanding Model Memorization in Machine Learning
Generative AI
Using Tonic Structural and the Safe Harbor method to de-identify PHI
Tonic how-tos
Maintaining data relationships in Structural generation output
Tonic how-tos
Integrating Tonic into your data refresh and CI/CD pipelines
Tonic how-tos
7 Test Data Pitfalls in Software Development
Test Data Management
Guide to test data automation
Test Data Management
Guide to synthetic test data generation
Data synthesis
How to prevent data leakage in your AI applications with Tonic Textual and Snowpark Container Services
Tonic how-tos
How to automatically redact sensitive text data In JSON format
Tonic how-tos
De-identifying free-text data in Snowflake using Tonic Textual
Tonic how-tos
Tonic vs Delphix vs K2View vs IBM Optim. A full comparison.
Test Data Management
Using custom models in Tonic Textual to redact sensitive values in free-text files
Tonic how-tos
What is Data Obfuscation?
Data Masking
Data Masking vs Tokenization: Finding the Differences
Data Masking
What is Data Masking?
Data Masking
Guide to Test Data Management
Test Data Management
Top Guide
Test Data Management
Learn how test data management (TDM) optimizes software testing, safeguards sensitive data, and ensures compliance. Discover core components, benefits, and solutions.
Quickly building training datasets for NLP applications
Generative AI
The Role of NER in GDPR Compliance and Beyond
Generative AI
Top 5 trends in enterprise RAG
Generative AI
What is model hallucination?
Generative AI
Understanding Named Entity Recognition (NER) models
Generative AI
Safeguarding data privacy while using LLMs
Generative AI
Understanding Model Memorization in Machine Learning
Generative AI
Top Guide
Data masking
Explore the various approaches of data masking and discover how they play a crucial role in safeguarding sensitive information while maintaining data utility.
Data Masking vs Tokenization: Finding the Differences
Data Masking
What is Data Masking?
Data Masking
Top Guide
Data synthesis
Synthetic data can take many forms and be generated using a variety of approaches. These guides shed light on approaches to data synthesis for software testing and development.
How to generate synthetic data: a comprehensive guide
Data synthesis
Guide to data privacy compliance for financial institutions
Data synthesis
Guide to synthetic test data generation
Data synthesis
Top Guide
Tonic how-tos
Learn how to optimize your use of Tonic's products in these step-by-step guides and tutorials, covering everything from replicating relationships in your structured data to ensuring compliance in your data de-identification.
