Articles and news

Compare the top enterprise tools for personal data anonymization and privacy compliance. Find the right solution to secure your test data today.

Mitigate data breach risk in non-production environments. Learn to ensure compliance and protect your business proactively and securely.

Learn how to protect personal data and comply with the GDPR. Discover the key differences between pseudonymization and anonymization, and how to implement them securely.

Compare the best data masking tools in 2025—enterprise and open source—for CI/CD integration, PII protection, and regulatory compliance. Find the right solution for your QA and DevOps teams.

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

Discover what data governance is, why it matters, and how to build a scalable framework with the right tools. Ensure compliance, security, and data value.

Learn how to mask sensitive data in CSV and JSON files using Python scripts. Apply substitution, truncation, and randomization to protect PII and other sensitive fields in development workflows.

Learn how to mask sensitive data in MySQL without breaking referential integrity or slowing down your QA cycles. This guide covers techniques to ensure compliance and automate your workflow.

Anonymization is no longer just compliance. Discover how automated strategies reduce data breach risks, ensure regulatory compliance, and accelerate innovation in the healthcare sector.

Failing to comply with the NIS2 Directive can cost millions. Learn the main risks and how to protect sensitive data in non-production environments.