A DLP Data Dictionary allows you to define what sensitive data looks like so Zaperon can accurately detect and prevent data leaks. You can create dictionaries using exact data values or pattern-based logic, enabling precise identification of confidential information across applications.
Adding a data dictionary helps your organization detect sensitive data such as credentials, personal information, financial records, or proprietary identifiers. It improves detection accuracy, reduces false positives, and strengthens overall Data Leak Prevention enforcement.
Add a DLP data dictionary when new sensitive data types need protection, compliance requirements change, or when existing detection rules are insufficient to identify critical data accurately.
1. In the Admin Dashboard, Navigate to Data Protection and click on Data Dictionary button.
2. Click on Add Dictionary to create a new data dictionary.
3. Enter the Dictionary Name, select the Confidence Level, and define the Dictionary Type for detection.
4. Add exact data values or pattern-based entries that represent sensitive data to be detected. Click on Save.
5. You'll see a confirmation dialog will appear to confirm the data dictionary has been added successfully.
Once created, data dictionaries can be reused across multiple DLP policies to detect sensitive data consistently across applications. Any updates made to a data dictionary automatically affect all DLP policies where it is used, ensuring centralized and accurate data protection.
You can manage data dictionaries as your requirements:
→ Refer to Edit DLP Data Dictionary to update detection logic, confidence levels, or dictionary entries used in DLP policies.
→ Refer to Delete DLP Data Dictionary to remove dictionaries that are no longer required and clean up unused DLP configurations.
→ Refer to Create a DLP Policy to add a new Data Leak Prevention (DLP) policy with new added data dictionary.
DLP Data Dictionaries form the foundation of accurate data protection in Zaperon. By clearly defining sensitive data patterns and values, organizations can enforce strong DLP policies while minimizing false alerts and maintaining business productivity.