The DLP (Data Loss Prevention) Engine in Zscaler consists ofDLP Dictionaries. These dictionaries contain the sensitive data patterns, keywords, and identifiers used to detect sensitive information in network traffic. They serve as the foundation for defining what content should be inspected and protected.
While DLP policies and rules govern how the engine acts, the engine itself fundamentally depends on these dictionaries to identify sensitive data accurately. The study guide states that DLP Dictionaries are key components that power the detection capabilities within the engine.
Question # 18
Which of the following is a common use case for adopting Zscaler’s Data Protection?
A common use case for adoptingZscaler’s Data Protectionis toprevent data loss to Internet and Cloud Apps. Data protection focuses on detecting and stopping sensitive data exfiltration or leakage to unauthorized destinations over web and cloud channels.
While reducing the attack surface and blocking malicious downloads are important security functions, they are addressed by other Zscaler capabilities such as threat protection. Secure connection to private apps is covered by ZPA, not data protection.
The study guide emphasizes that data protection’s primary purpose is to safeguard sensitive data from being lost or leaked to internet or cloud applications.