Data Masking in Test Data Management_ What, Why, And How?

1. Data Masking in Test Data Management: What,Why And How? Test data management is less focused during application development and testing, but it's pretty important. Why? Because the quality of your test suites depends on it — test data is like the bread and butter of any testing process. Test data management may seem to be an obvious task to some, but the truth is that far too many organizations neglect it. Test data management is not something that happens automatically or by accident. It's simply not good enough for testing to occur and then hope for the best - you'll also need some strategy in place. An important component of test data management is data masking. What is data masking? Data management is the process of ensuring data integrity by preserving and protecting information. This is especially important when you have sensitive data and don't want it to end up in production. Data masking can be done manually, but the process isn't practical, reliable or efficient. Therefore you can use data masking and test data management solutions to automate the process.

2. Types of Data That Require Masking Several data used in the release management process require masking for security purposes: ● Data that are classified as intellectual property. Intellectual property refers to the creative and innovative ideas protected by law, as well as any materials used to develop or create these ideas. This can include patents, copyrights and trademarks. ● Data that may be detrimental to national security or defence systems. This type of data masking is usually done in the software of governments and military organizations to protect information that could get into the wrong hands if released publicly. ● Data pertaining to general consumer privacy protection and monitoring children's use of technology (and other family members) when using shared devices. ● Data that is confidential or sensitive. This includes information about individuals, such as their names, addresses and telephone numbers, as well as medical records. ● Data that may be used to identify a person or company. This includes personal information such as names and dates of birth, bank account details, tax details and other business contact information. ● Data that is personal but not sensitive, such as images of people (e.g., photographs) or locations (e.g. GPS coordinates). Also read : 7 Incredible Test Automation Trends For 2022 (Also Continue In 2023) Types of data masking Two types of data masking are prevalent in the release management process: ● Dynamic data masking: Dynamic data masking allows the controlling environment to be adjusted in real-time, allowing for a more dynamic test. ● Static data masking: Static data masking is a technique for hiding sensitive information from the view of software testers. It's a way to prevent automated tools from seeing the values of variables and other information that are meant to be private or confidential.

3. Data Masking Techniques Test data management solutions leverage the following techniques to ensure accurate data protection. Data pseudonymization Data pseudonymization is a technique used to mask the identity of data using an alias. The process is reversible. Encryption Encryption scrambles data into a form that cannot be understood by anyone but the original owner. Data anonymization Data anonymization removes personally identifying information from data so that it can be freely shared with third parties. Conclusion Data masking is an important part of the overall program within the test data life cycle in which a variety of techniques are used to hide sensitive information, such as credit card numbers and names, before it's passed on to the test environment and production. Hire professional solutions for your data masking needs. Contact Us Company Name: Enov8 Address: Level 2, 447 Broadway New York, NY 10013 USA Email id: enquiries@enov8.com Website: https://www.enov8.com/