Modern and composable architectures can sometimes comes with a hidden cost. Sensitive user data, such as things like a user's name, email, and home address, ends up being copied and fragmented throughout our composable architecture, ending up in our log files, application storage, caching systems, and data warehouses. It’s easy for a business to quickly lose track of why, when, where, and what sensitive user data is being stored. However, keeping sensitive user data out of these locations is critical to reducing the risk of a data breach and ensuring compliance with requirements like data residency, PCI, and beyond.
In this talk, we'll show how you can solve challenges like data security, privacy, and compliance with a data privacy vault, an architectural pattern that isolates, secures, stores, and tightly controls access to manage and use sensitive data. With a data privacy vault, your valuable data, such as customer PII, is removed from your general purpose systems and databases and placed in a separate, hardened environment while remaining accessible for critical workflows. Using real-world examples, we’ll show how the data privacy vault simplifies and solves data privacy for a number of use cases like de-identification of data in an analytics pipeline and data residency.
