Overview of Sensitive Data Identification

Sensitive data identification automatically identifies sensitive data and analyzes the usage of such data. With data identification engines, structured data (RDS and DWS) and unstructured data (OBS) is scanned and classified. It then automatically identifies sensitive data and analyzes the usage of such data for further ensuring security.

Constraints

For Hive data in MRS, sensitive data can be identified only when Match Type is Rule matching and Rule is Content > Include.

Process

Figure 1 Flowchart

**Table 1** Functions
Function	Description	Related Operations
Identification Rule	Built-in data identification rules of Data Security Center of Huawei Cloud can be used. In addition, you can also customize new rules to classify scattered data based on identification rules. These rules are mandatory for creating identification templates.	Customizing a Rule
Sensitivity Configuration	The built-in data security levels of Huawei Cloud Data Security Center are available. In addition, you can also customize new levels to classify rules.	Customizing a Level
Identification Template	The built-in templates according to the Huawei Cloud data security classifying and grading standard and best practices are provided. In addition, you can customize new classifying and grading templates to manage scattered rules in a unified manner. These templates are mandatory for creating identification tasks.	Creating an Identification Template
Identification Task	Based on the created identification task, DSC automatically identifies sensitive data in a specified database, OBS bucket, big data source, or MRS, and generates identification results and reports.	Creating an Identification Task
Viewing the Identification Result	After the scanning is complete, you can view the identification result in the identification task list and handle abnormal events based on the identification result.	Identification Results