We've been talking to our friends in testing, brainpicking them to see where they need help the most.

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.

In this two-part series, we are taking a look at how data privacy legislation evolved and explore how technology can keep up with the demands of regulation.

Banks and financial institutions need AI-generated synthetic data to leverage their AI and data opportunities in a safe and privacy-compliant way. MOSTLY AI’s synthetic data platform lets you do that with groundbreaking machine learning technology, ready to create privacy regulation compliant, highly accurate synthetic versions of datasets.

In the first part of this PrivacyTech in Banking series, I looked into the effect that privacy has on data-driven innovation in the financial services industry. Moving fast and breaking things is extremely bad advice when it comes to privacy.

Last Thursday (16th of July 2020) the European Court of Justice invalidated EU-US Privacy Shield with immediate effect.

Behavioural data is the new gold. Go Synthetic to unleash its potential – and make sequential behavioural data your ultimate test case for choosing your preferred synthetic data solution!

We are facing an unprecedented crisis that has changed our daily life in several ways and that spans virtually all aspects of society.

5 Mini-Videos for Innovators & Privacy Professionals