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Security Implementation Diagrams for Azure Synapse Analytics

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This section provides security implementation diagrams for Azure Synapse Analytics, focusing on security patterns and best practices.

Defense-in-Depth Security Architecture

This diagram illustrates the defense-in-depth security model for Azure Synapse Analytics.

Secure Data Lakehouse Architecture

Secure Data Lakehouse Security Overview

Network Isolation Architecture

This diagram shows the network isolation architecture for securing Azure Synapse Analytics workspaces.

Secure Data Lakehouse Access Control

Secure Data Lakehouse Access Control

Data Protection Security Model

This diagram illustrates the comprehensive data protection model for Azure Synapse Analytics.

Azure Analytics End-to-End Architecture

Secure Data Lakehouse High-Level Design

Identity and Access Management Architecture

This diagram depicts the identity and access management architecture for Azure Synapse Analytics.

Secure Data Lakehouse Access Control

Secure Data Lakehouse Access Control

Sensitive Data Protection Framework

This diagram shows the sensitive data protection framework for Azure Synapse Analytics.

Secure Data Lakehouse Overview

Secure Data Lakehouse High-Level Design

Compliance Controls Architecture

This diagram illustrates how Azure Synapse Analytics implements controls for various compliance standards.

Secure Data Lakehouse Architecture

Secure Data Lakehouse Architecture

Security Implementation Best Practices

When implementing security for Azure Synapse Analytics, follow these best practices:

  1. Network Security
  2. Implement private endpoints for all Synapse components
  3. Use network security groups to restrict traffic
  4. Deploy Azure Firewall for advanced threat protection
  5. Utilize virtual network service endpoints for Azure services

  6. Data Protection

  7. Enable transparent data encryption for all data at rest
  8. Implement customer-managed keys with Azure Key Vault rotation
  9. Apply column-level encryption for sensitive data
  10. Use dynamic data masking for PII data

  11. Identity and Access Management

  12. Implement Azure AD authentication for all access
  13. Use conditional access policies for sensitive workloads
  14. Apply least privilege principle with custom RBAC roles
  15. Implement managed identities for service-to-service authentication

  16. Monitoring and Compliance

  17. Enable diagnostic logs for all Synapse components
  18. Implement advanced threat protection for SQL pools
  19. Create custom alerts for security events
  20. Perform regular vulnerability assessments