There’s still a persistent notion that only raw, sensitive data will do for successful Test and Dev. It’s based on two factors that have traditionally made it hard to readily provision useful data to Test and Dev environments:

  • Synthetic data isn’t good enough when it comes to referential integrity and data complexity
  • Masked data is only provided after a slow, manual process – which rarely goes far enough in eliminating risk (we’ve written a blog about it). The good news: these things were true yesterday.

New, sophisticated privacy techniques make it possible to achieve levels of data utility that have, so far, only been present in raw data.
Download our white paper on the 6 principles of privacy-safe test & dev data to learn more.