There has been a lot of discussion about GDPR and its implications on the way companies will be doing their business in compliance with GDPR. General Data Protection Regulation (GDPR) is the new EU legal framework that came into force on 25th May 2018.
GDPR focuses on the protection, collection, and management of personal data of individuals and gives the regulatory authorities the right to take action against the businesses that violate this new law. It empowers individuals through an extended control over the usage of their personal data and imposes stringent controls over the companies processing the same.
GDPR has widened its implications for companies worldwide, covering the technological, operational, and organizational aspects of EU citizens. Adhering to the most stringent data protection framework, and with digital transformation, it is critical for companies to run checks with test data to confirm effective GDPR compliancy. With eye-watering fines that can cripple any company, it is highly important that no real or live data is made available to software testers, processors, managers, administrators, developers, or business users while executing the testing process.
Key methods to keep your test data in compliance with GDPR law.
Make sure that you document the processing of individuals’ personal data in all test environments. It helps you to control the data and prevent unauthorized access and data exports. TDM process includes profiling, subsetting, masking, provisioning and creating a repository of data in test environments. Stringent data controls and centralized data access for authorized access points will help a testing team to adopt a GDPR framework seamlessly.
Having an on-going database audit helps to restrict the external users from accessing the personal data. This will rule out any security features that might lead the organization to a data breach. For any test processing data or tools, one must be in compliance with the GDPR law. By creating robust test data management and processes, it helps to control and protect the security and privacy of the data. Regular audits will help to keep your test data secured, preventing inappropriate use of personal test data.
Compared to data masking, synthetic data eliminates the risk of exposing any real personal information to the unauthorized access. Data masking is a process of hiding the specific fields such as first name, last name and address. However, it becomes easy to access the personal details by monitoring the pattern of masking.
Synthetic data framework generates data based on the model, testing rules, and environments created by an organization. With advanced synthetic techniques, you can ensure the maximum test coverage by generating data sets and completing the testing process.
Data anonymization utilizes multiple techniques such as encryption, generalization, pseudonymization, and perturbation to protect the privacy of users’ personal data, making it available for businesses to use without breaching any live data.
With GDPR coming into force on 25th May 2018, companies dealing with real data must pay attention to the security and privacy of the data. The same applies to test data as the testing team uses customers’ personal data from real environments for the testing purpose. Is your test data GDPR compliant?