Data Protection News

For example, while customer support teams may require reversible pseudonymization, software testers may opt for strict anonymization. Pseudonymization is an essential tool for data protection, balancing security and functionality. Whether you’re handling medical records, financial data, or customer analytics, implementing pseudonymization can enhance privacy while keeping data valuable. It’s helpful to understand how pseudonymization can […]

Connect all your business systems and pull context across your data estate into one living graph. Techsplainers by IBM breaks down the essentials of data for AI, from key concepts to real‑world use cases. In general, we don’t want any chance of our test data breaking our application or database in QA e.g. false negatives.