Data Redaction
Data redaction is a data security technique that involves masking or removing sensitive information from datasets, documents, or outputs to protect privacy and comply with regulations. It is commonly applied in contexts like database queries, log files, and reports to prevent unauthorized access to personal or confidential data. The process can be dynamic (applied in real-time based on user permissions) or static (permanently altered).
Developers should learn data redaction to implement security measures in applications handling sensitive data, such as healthcare records, financial information, or personal identifiers, to meet compliance requirements like GDPR, HIPAA, or PCI-DSS. It is essential for building secure systems that limit data exposure to authorized users only, reducing the risk of data breaches and ensuring privacy by design.