Compliance

Gretel releases industry standard synthetic tabular data privacy evaluation and risk-based scoring system.

How synthetic data can help nonprofits improve their business operations and their impact on the people they serve.

In this post, we will dive into what privacy engineering is, why it’s important, and some of the core use cases we are seeing that are enabled by privacy.

Learn about new features in Gretel, and how those features enabled us to discover personally identifiable information (PII) in a popular Kaggle dataset.

Use Gretel.ai's APIs to continuously detect and protect sensitive data including credit cards, credentials, names, and addresses.

Use Gretel’s NLP setting to label PII including people names and geographic locations in free text.

Learn how to anonymize tabular data to meet GDPR standards using Gretel's synthetic data APIs.

Celebrating Gretel's latest innovations by diving into the future of multimodal synthetic data, and our Model Playground and Tabular LLM.