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FusionCloud 6.3.1.1 Solution Description 04

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Application Scenarios

Application Scenarios

Attack Defense

Multiple policies prevent database attacks and ensure database security on the cloud. See Figure 32-1.

  • End-to-end database firewall

    Users can use the intrusion prevention system or intrusion detection system based on actual database risks. DBSS provides anti-SQL injection and access control capabilities.

  • Multi-dimensional security policy rules

    Security policy rules based on query groups, tables, or storage procedures

  • Learning mode

    Instances have the self-learning mode. Once the pre-set learning time has ended, instances automatically generate security policy rules. Users can accept or reject the rules.

    Figure 32-1 Attack defense

Data Masking

Detects and dynamically masks sensitive data in the user database. See Figure 32-2.

  • Compliance

    Sensitive data detection complies with industry regulations.

  • Multiple data masking rules

    Users can set data masking rules for specified database tables and queries from specific source IP addresses, users, and applications.

  • No impact on user data

    The precise data masking engine is used to anonymize sensitive user data in real time without performance loss or changing the data storage in the database.

    Figure 32-2 Data masking

Audit

Provides database audit function. See Figure 32-3.

  • Compliance

    Remote storage of audit logs, meeting compliance requirements

  • Multi-dimensional statistics

    Provides audit reports from dimensions such as pre-event, post-event, common user, and administrator.

  • Exception monitoring

    Monitors performance, data, and behavior exceptions.

    Figure 32-3 Audit
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Updated: 2019-10-23

Document ID: EDOC1100063247

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