Data masking tackles security issues head-on by tweaking data's actual digits and letters, maintaining confidentiality. It alters data values while preserving the original format, creating a ...

Sensitive data is a part of every large organization’s normal business practice. Allowing sensitive data from production applications to be copied and used for development and testing environments ...

Quality and speed do not always go hand in hand. In test data management, however, they need to, because it has become more ...

Building secure, resilient, and scalable cloud-native applications requires a new set of best practices that diverge from traditional application development. Start with these six. The emergence of ...

Test automation and DevOps play a major role in today's quality assurance landscape. As we know, software development is evolving at a rapid pace. This requires finding robust ways to invest in ...