A comprehensive test data management plan mitigates compliance and security risks during development and testing while simultaneously allowing you to leverage the full scope of your data assets. Also, it facilitates reliable, better quality software that works at launch while limiting bug fixes and reducing rollbacks.
A data discovery and masking solution is essential to a comprehensive test data management plan, enabling data security while retaining field properties critical to accurate, reliable systems testing.
Data masking tools rapidly protect sensitive information across vast, complex databases to facilitate thorough, accurate and reliable testing.
Testing new programs and functions, or patches and upgrades, does not require access to actual production data. However, effective applications and systems testing against real-world performance expectations necessitates data with the same scope, complexity, and volume the software will need to manage at go-live.
Anonymized data is protected from insider threats, accidental exposure, and hacking because it replaces sensitive information with realistic but fictional values. So, a name is replaced with another name, a social security number with a different nine-digit number, and an address with a false, but realistic, location.
All masked information still functions like the original data so you, or your fintech partner’s, QA team can accurately test system functionality using complex, full scope data that looks and acts like the real thing.