Help Center/ Data Security Center/ User Guide/ Classification and Grading/ Overview of Sensitive Data Identification
Updated on 2026-07-27 GMT+08:00
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Overview of Sensitive Data Identification

Sensitive data identification leverages a data identification engine to scan, classify, and grade structured data (for example, RDS, DWS) and unstructured data (for example, OBS).

Constraints on Sensitive Data Identification Tasks

This section outlines the data types supported for sensitive data identification methods (Rule Matching Method and Large Model Inference Method) and the built-in rules that support AI-assisted verification.

Data Source Types Supported by Rule Matching

Data Type

Data Source Type

Databases

MySQL

TDSQL

PostgreSQL

GreenPlum

SQLServer

Oracle

DWS

OpenGauss

KingBase

DMDBMS

MongoDB

Big data

Hive

Hbase

DLI

MRS_HIVE

Elasticsearch

OBS

OBS

Built-in Rules That Support AI-assisted Verification

Sensitive Data Category

Type

Image containing personal sensitive information
  • Name
  • Gender
  • Date of Birth
  • Ethnicity
  • Nationality
  • Marital Status
  • Telephone number (Chinese mainland)
  • Mobile number (Chinese mainland)
  • Place of birth
  • Email
  • Religion
  • ID card (Chinese mainland)
  • Military ID card
  • Passport (Chinese mainland)
  • Driver's license (Chinese mainland)
  • Exit-Entry Permit for Traveling to and from Hong Kong and Macao (EEP)
  • License plate number (Chinese mainland)
  • Vehicle identification number
  • Education level
  • Company
  • Bank account number
  • Credit card security code
  • Smoking history
  • Age
  • Birthplace
  • Address
  • Political affiliation
  • Employee card
  • Social security number
  • Residence permit number
  • Taiwan compatriot permit
  • WeChat ID
  • QQ number
  • Weibo account
  • Occupation
  • Work location
  • Salary
  • Bank account
  • Securities account

Keys and credentials
  • Password
  • OTP/SMS verification code
  • Authentication token
  • AK
  • SK

Location

Geographical location

Other

Financial amount information

Procedure

You can use Huawei Cloud's built-in sensitive data identification templates tailored for specific industries. Alternatively, you can take the following steps to create custom identification rules, levels, and templates.

Step 1: Configure Identification Rules or Levels

You can use the built-in rules and levels or create new ones. They are essential for creating an identification template and classifying data. For details, see Creating a Custom Rule and Adding a Sensitivity Level.

Step 2: Configure an Identification Template

You can use the General Cloud Data Security Classification Template or create new templates to manage rules in a centralized manner. Templates are mandatory for creating identification tasks. For details, see Creating a Template.

Step 3: Configure an Identification Task

Based on the created identification task, DSC automatically identifies sensitive data in a specified database, OBS bucket, big data source, or LTS, and generates identification results and reports. For details, see Creating a Classification and Grading Task Using Rule Matching.

Step 4: View or Download the Identification Result

After the scanning is complete, you can view the identification result in the identification task list or download the result to the local PC. For details, see Viewing and Downloading Sensitive Data Identification Results.

Parent Topic: Classification and Grading