Functions and Features

Asset Map

You can view multiple aspects of your asset security, such as asset overview, categories and levels, permission configuration, data storage, and sensitive data. This helps you quickly detect risky assets and handle them.

• Asset Visualization
  • Service data assets: All data assets on the cloud, including OBS, RDS, CSS, Hive, and HBase assets are visualized.
  • Data risk: The categorization and leveling results display the risk levels of data.
  • Region display: The region where each asset is located is displayed based on the cloud resource VPC and associated with the service region.
• Egress Visualization
  • Data egresses: All data egresses on the cloud are identified, including EIP, NAT, API Gateway, and ROMA.
  • Asset and egress association: Cloud egresses are associated with data assets and data asset categorization and leveling results.
  • Cascading association: Egresses and the cascading egresses are displayed.
• Policy Visualization
  • Data security policies: All security policies of data assets are detected based on cloud native capabilities and policy risks are displayed.
  • Policy recommendation: Different security policy configurations are recommended based on the data asset level.

Asset Map

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Asset Management

• Asset center: You can manage data assets from OBS, databases, big data, Log Tank Service (LTS), and MRS.
• Asset catalog: You can view statistics about your data from different domains or of different types.
• Data exploration: You can view details about all the added data assets and add descriptions, tags, security levels, and classifications to databases, tables, and data views to manage data assets by level and classification.
• Metadata tasks: You can create metadata tasks to collect data assets as metadata. In this way, you can manage data assets by level and classification.
• Asset group management: Data can be managed by group.

Asset Management

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Sensitive Data Identification

• Automatic data classification and grading: DSC automatically discovers and analyzes sensitive data. Utilizing DSC's data identification engines, both structured data (RDS and DWS) and unstructured data (OBS) are scanned, classified, and graded. This process ensures continuous identification and analysis of sensitive data to enhance security.
  • File types: DSC can identify sensitive data from over 200 types of unstructured files.
  • Data types: DSC is able to identify dozens of personal privacy data types (Chinese or English).
  • Image types: DSC is able to identify sensitive words (Chinese and English) in eight types of images such as PNG, JPEG, x-portable-pixmap, TIFF, BMP, GIF, JPX, and JP2.
• Automatic identification of sensitive data
  • Automatic identification of sensitive data and personal privacy data
  • Customized identification rules to meet various requirements of different industries
  • Visualized identification results which can be downloaded to the local PC

The identification duration depends on the data volume, number of identification rules, and scan mode. For details, see How Long Does It Take for DSC to Identify and Mask Sensitive Data?

Creating a Sensitive Data Identification Task

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Data Masking

Supports static data masking and dynamic data masking.

Data masking has the following features:

• Zero impact: DSC reads data from original databases, statically masks sensitive data using precise masking engines, and saves the masked data separately without affecting your data assets.
• Various data sources: Data of various sources on the cloud, such as RDS, self-built databases on ECSs, or big data, can be masked to meet security requirements.
• Custom data masking policies: DSC provides you with over 20 preset data masking rules. You can use the default masking rules or customize the masking rules to mask sensitive data in the specified database table. For details about the data masking algorithms supported by DSC, see Data Masking Algorithms.
• Easy and quick masking rule configuration for security compliance: Easy and quick data masking rule configuration can be achieved based on data scanning results.

In addition, DSC provides APIs for dynamic data masking. For details, see Dynamic Data Masking.

DSC uses preset and customized masking algorithms to mask sensitive data stored in RDS, Elasticsearch, MRS, Hive, HBase, DLI, and OBS. For details about the masking duration, see How Long Does It Take for DSC to Identify and Mask Sensitive Data?

Configuring a Data Masking Rule

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Data Watermarking

Provides the functions of adding and extracting watermarks for databases and documents.

• Copyright proof: The owner information is added to the assets to specify the ownership, achieving copyright protection.
• Automated monitoring: The user information is added to the assets for tracing data leak.

DSC provides APIs for dynamically adding data watermarks and extracting watermarks from data. For details, see DSC API Reference.

Watermark Injection

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Policy Center

• Policy baseline: The policy baseline is a structured set of data security policies, encompassing data security management regulations, data classification and grading requirements, cross-border data transfer management regulations, and requirements for important and core data. DSC provides preset policy templates based on Huawei Cloud's data security governance experience and supports policy addition, deletion, modification, query, structured display, filtering, and querying.
• Log collection: DSC collects logs from applications (including DBSS) to assist in tracking data flow and promptly identifying exceptions and risks.
• Policy management: The administrator creates policies for database audit, encryption, watermarking, static masking, and dynamic masking on the policy management page of the policy center, and then deploys these policies to the relevant services or instances.

Policy Center

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Dashboard

By default, DSC provides an integrated situational awareness dashboard that presents a thorough analysis of risky assets, identification, masking, and watermarking tasks, as well as events and alarms in the cloud. This dashboard facilitates swift recognition and response to the overall status of assets, including addressing risky assets and urgent alarms.

Large Screen

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Alarms

When a system or service risk alarm is generated for DBSS, the alarm event is sent to DSC. You can view the alarm event on the DSC console.

Alarm Management

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Events

DSC integrates with key security components, including Database Audit, and Cloud Bastion Host, enabling centralized event management and real-time event delivery to DSC. This allows users to promptly verify and handle events. You can also convert alarms on the Alarm Management page to events.

Event Management

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OBS Usage Audit

DSC detects OBS buckets based on sensitive data identification rules and monitors identified sensitive data. After abnormal operations of the sensitive data are detected, DSC allows you to view the monitoring result and handle the abnormal events as required.

OBS Usage Audit

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Data Transfer Details

• Call chain data collection: DSC collects log data of each application.
• Call chain data storage and query: DSC stores the massive collected data and provides quick query capabilities.
• Call chain data generation: DSC performs data link transfer analysis on the collected and reported logs, and generates a transfer diagram.
• Metric calculation, storage, and query: DSC calculates various metrics based on the collected log data, and stores the calculation results.

Data Transfer Details

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Multi-Account Management

After the multi-account management function is enabled, the security administrator can protect the data of all member accounts without logging in to them.

Multi-Account Management

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Alarm Notifications

Sends notifications through the notification method configured by users when sensitive data identification is completed or abnormal events are detected.

Alarm Notifications

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