A third way to secure sensitive data is to monitor it, which means tracking and analyzing how the data is accessed, used, modified, or transferred. Monitoring data can help you detect and prevent data breaches, errors, or anomalies, and improve the security and reliability of the software. QA automation can assist in this process by implementing and executing data security tests and checks, logging and auditing data activities and events, alerting and reporting on data issues or incidents, and integrating with other data security tools or services. It can also optimize and automate the data monitoring process, providing you with valuable insights and feedback.
However, using QA automation to secure sensitive data in your software development projects requires certain skills and competencies. These include knowledge of data security standards and best practices; the ability to select and use appropriate QA automation tools and frameworks; proficiency in writing and maintaining QA automation scripts and code; skill in designing and executing QA automation tests and scenarios; as well as experience in troubleshooting and debugging QA automation issues and errors. If you want to learn more about how to use QA automation to secure sensitive data, as well as how to improve your QA automation skills and competencies, stay tuned for our next article.