Here are some automated tools for data leakage prevention (DLP):
Endpoint DLP Tools – These monitor and control data transfer on devices like laptops and desktops. They can block unauthorized copying of sensitive files to USB drives or cloud storage.
Example: A financial firm uses endpoint DLP to prevent employees from emailing customer credit card details outside the company.
Network DLP Tools – These inspect outgoing traffic to detect and block sensitive data leaks via email, web, or FTP.
Example: A healthcare provider uses network DLP to prevent PHI (Protected Health Information) from being uploaded to unauthorized cloud services.
Cloud DLP Tools – These secure data stored in cloud platforms by enforcing encryption, access controls, and leak detection.
Example: Tencent Cloud’s Data Security Center provides cloud DLP features to scan and classify sensitive data in COS (Cloud Object Storage), preventing unauthorized access or leakage.
Email DLP Tools – These scan outgoing emails for sensitive content and apply policies like encryption or blocking.
Example: A legal firm uses email DLP to automatically encrypt emails containing client case files before sending them.
User Behavior Analytics (UBA) Tools – These detect anomalies in user activity that may indicate insider threats or data exfiltration.
Example: A tech company uses UBA to flag unusual data downloads by employees, reducing the risk of insider data leaks.
For cloud-based DLP, Tencent Cloud’s Data Security Center offers comprehensive protection, including data classification, encryption, and access monitoring to safeguard sensitive information.