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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 leaks to protect confidential information such as intellectual property, financial data, or personal identifiable information (PII). DLP solutions typically operate at endpoints, networks, and storage systems to enforce data security policies.

Also known as: DLP, Data Leak Prevention, Information Leak Prevention, Data Loss Protection, Data Leakage Prevention
🧊Why learn Data Loss Prevention?

Developers should learn about DLP to build secure applications that comply with regulations like GDPR, HIPAA, or PCI-DSS, especially in industries handling sensitive data such as finance, healthcare, or e-commerce. It helps prevent costly data breaches, reputational damage, and legal penalties by implementing controls like encryption, access restrictions, and activity monitoring. Understanding DLP is crucial for roles in cybersecurity, DevOps, or software engineering where data protection is a priority.

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