终端数据防泄漏（DLP）

Data loss prevention is a security approach that identifies, monitors, and protects sensitive information from unauthorized access, sharing, or transfer. It combines content inspection, access control, and behavioral monitoring to reduce data exfiltration risk.

Identity is central to data loss prevention because attackers and insiders use compromised or overprivileged accounts to access and move data. Enforcing least privilege and monitoring identity behavior reduces the likelihood of data theft.

Data loss prevention tools protect personally identifiable information, protected health information, financial records, intellectual property, source code, and other regulated or confidential data defined by custom policies.

Endpoint DLP is critical, but it is not enough on its own. Effective data loss prevention also requires sensitive data discovery, access governance, and real-time threat detection to reduce exposure and stop insider-driven or identity-based attacks.

Yes. Data loss prevention supports compliance with GDPR, HIPAA, PCI DSS, and other regulations by enforcing controls around sensitive data, monitoring access and transfers, and providing audit-ready reporting.