Articles and news

Avoid legal risks in development and testing environments. Learn how to protect personal data and ensure GDPR compliance with secure, efficient solutions.

Learn how to automate test data management in your CI/CD workflows to accelerate delivery, reduce manual effort, and bring products to market faster while ensuring data privacy and compliance.

Data masking helps protect sensitive information in development and testing environments, ensuring regulatory compliance without compromising the quality of testing. Discover what it is, how it works, and why more and more companies are integrating it into their software quality processes.

Learn what test data is, why it’s critical in QA, and how to manage it effectively to improve software quality while ensuring security and regulatory compliance.

When an application fails in production due to performance issues, it not only affects user experience but also compromises business reliability. Performance testing is not just a validation process—it is a key strategy to ensure applications remain fast, stable, and scalable under varying load conditions.

In today's data-driven world, protecting sensitive information is more important than ever.

Learn how to automate test data management and provisioning to improve QA workflows, ensure data security, and stay compliant with GDPR.

In today's digital age, protecting personal data has become a top priority for organizations. With the implementation of the General Data Protection Regulation (GDPR) by the European Union, companies must ensure that users' personal data is handled with the utmost security and compliance.

In software development, test data is crucial for performing quality checks in controlled environments without risking user privacy or compromising data security.

The data landscape is evolving rapidly, and businesses seeking to stay competitive must remain aware of emerging trends. In 2025, data will continue to be at the heart of business strategies, with a renewed focus on innovative technologies, accessibility, and privacy.

Test data quality is a fundamental aspect of the software development lifecycle. While development and QA teams focus heavily on code and automated testing, the quality of the data used in tests is often the determining factor in a test's success or failure.

Protecting sensitive data is a priority for any business handling confidential information, but it's not always easy.

Data security remains one of the most critical challenges for companies, especially when protecting sensitive information in development and testing environments.

As a DBA (Database Administrator), one of your main responsibilities is to ensure that sensitive data is properly protected while maintaining the efficiency and accessibility of databases.

What is Article 32 of the GDPR and what role does data masking play in ensuring compliance.

How to integrate data masking into a CI/CD pipeline using Azure DevOps as an example

Data masking is an effective business tool used by large companies around the world to save time and money while improving their strategies.

Data masking is a strategy used to protect sensitive data in a dataset by transforming them into different data that maintain the coherence and consistency of the original set

How many times have we found out that the data we are working with, either in testing or development, belong to real customers or users?