Data Privacy

Policymakers need better ways to collaborate on data. AI-generated synthetic data received the strongest endorsement as a recommended tool from the EU's Joint Research Centre.

Privacy enhancing technologies are a vital part of modern data infrastructures. Learn what PETs are and how to select the right PET for the right use case!

A new type of privacy attack is emerging: using AI to re-identify people based on behavioral patterns. Old privacy tools no longer work, AI-generated synthetic data does.

Synthetic data is quickly becoming a critical tool for organizations to unlock the value of sensitive customer data while keeping the privacy of their customers protected and in compliance with data protection regulations such as GDPR and CCPA. It can be generated quickly in abundance and has been proven to drastically improve machine learning performance. […]

In the following blog post, I'll give an overview of the most common data and privacy business problems I hear about from our clients.

Our featured guest, Belinda Enoma, talks about areas for algorithmic compliance and challenges that need to be continuously addressed as models are created.

In this webinar, you will learn about the options for cross-border data sharing in 2021 and how synthetic data makes the process easy and privacy-compliant.

The world is changing, and anonymous data is not anonymous anymore. Classic anonymization methods are no longer the fail-safe tools they once were. It's time to upgrade to synthetic data!

This is the second part of our blog post series on truly anonymous synthetic data. While Part I introduced the fundamental challenge of true anonymization, this part will detail the technical possibilities of establishing the privacy and thus safety of synthetic data.