Data Loss Prevention
Data Loss Prevention (DLP) is a set of strategies, tools, and processes designed to prevent unauthorized access, use, or transmission of sensitive data. It involves monitoring, detecting, and blocking data breaches or exfiltration attempts across networks, endpoints, and cloud environments. DLP helps organizations protect intellectual property, personally identifiable information (PII), financial data, and other critical assets from accidental or malicious exposure.
Developers should learn DLP when building or maintaining systems that handle sensitive data, such as in healthcare, finance, or e-commerce applications, to ensure compliance with regulations like GDPR, HIPAA, or PCI-DSS. It is crucial for implementing security controls in data pipelines, APIs, and user interfaces to prevent data leaks and mitigate risks associated with insider threats or cyberattacks. Understanding DLP helps in designing secure architectures and integrating with security tools for real-time protection.