Privacy

Gretel’s suite of privacy-enhancing tools and generative AI models are now available on Google Cloud Marketplace.

How we implemented a practical attack on a synthetic data model to validate its ability to protect sensitive information under different parameter settings.

Gretel Tabular DP is a fast and powerful new model to generate high quality tabular synthetic data with mathematical guarantees of privacy

Gretel and Google Cloud harness the power of synthetic data to accelerate safer adoption of generative AI in the enterprise.

How to utilize Gretel to create high-quality synthetic tabular data that you can use as training data for a classification model in Vertex AI.

Gretel introduces Reinforcement Learning from Privacy Feedback (RLPF), a novel approach to reduce the likelihood of a language model leaking private information.

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

Synthetic data is algorithmically generated data that mirrors the statistical properties of the dataset it’s based on. Learn how to make high-quality synthetic data.

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

Take a deep dive on training Gretel’s open-source, synthetic data library to generate electronic health records that protect individual privacy (PII).