Keyword: «sensitive data»

The article discusses the basic principles of working with sensitive data in organizations. It reveals the concept of sensitive data, describes its main categories, threats of compromise, and practical protection measures. Special attention is paid to anonymization as a way to reduce risks during development, testing, analytics, and machine learning. It is argued that effective work with sensitive information requires a combination of legal regulation, organizational procedures, and technical protection methods.