Privacy

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 more about how Gretel's REST APIs automatically build a metastore that makes it easy to understand what is inside of your data.

Quickly and safely aggregate geolocation data for location density analysis using a hexagonal grid system.

Gretel Outpost is a free integration architecture that automates the steps that a security team would take in assessing the risk or exposure to data.

Create differentially private, synthetic versions of datasets and meet compliance requirements to keep sensitive data within your approved environment.

What if we could ensure that personal data was protected, benefiting not just the individual but also giving developers faster, worry-free access to data?

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

Use Gretel Synthetics and Colaboratory’s free GPUs to train a model to automatically generate fake, anonymized data with differential privacy guarantees.

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

This article clarifies some common misconceptions about differential privacy and what it guarantees.