🔒 Security Architecture¶

Table of Contents¶

• Security Overview
• Zero Trust Architecture
• Network Security
• Identity & Access Management
• Data Protection
• Compliance Framework
• Monitoring & Threat Detection
• Security Operations

Security Overview¶

The Azure Real-Time Analytics platform implements a comprehensive security framework based on Zero Trust Architecture principles, ensuring robust protection across all layers of the infrastructure and data processing pipeline.

Security Principles¶

1. Never Trust, Always Verify: Explicit verification for every transaction
2. Least Privilege Access: Minimum required permissions for all identities
3. Assume Breach: Design for compromise detection and containment
4. Continuous Validation: Real-time security posture assessment
5. Defense in Depth: Multiple overlapping security controls

Security Objectives¶

Zero Trust Architecture¶

Core Components¶

```text┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │ Identity │────│ Network │────│ Data │ │ │ │ │ │ │ │ • Azure AD │ │ • Private │ │ • Encryption │ │ • MFA Required │ │ Endpoints │ │ • Classification │ │ • Conditional │ │ • Network │ │ • DLP Policies │ │ Access │ │ Segmentation │ │ • Access Logs │ └─────────────────┘ └─────────────────┘ └─────────────────┘ │ │ │ └───────────────────────┼───────────────────────┘ │ ┌─────────────────┐ │ Applications │ │ │ │ • Secure APIs │ │ • App Gateway │ │ • WAF Protection│ │ • Rate Limiting │ └─────────────────┘

### Trust Boundaries

#### External Trust Boundary
- **Internet-facing services**: Application Gateway with WAF
- **API Endpoints**: Rate limiting and authentication required
- **VPN Access**: Site-to-site with certificate validation
- **Partner Integrations**: Dedicated service principals

#### Internal Trust Boundaries
- **Management Plane**: Separate admin network
- **Data Plane**: Isolated processing environments
- **Compute Resources**: Network-level isolation
- **Storage Access**: Private endpoints only

## Network Security

### Network Architecture

```textInternet
    │
    ▼
┌─────────────────┐
│ Application     │ ── WAF Protection
│ Gateway         │ ── SSL Termination
└─────────────────┘ ── DDoS Protection
    │
    ▼
┌─────────────────┐
│ Hub VNet        │ ── Central connectivity
│ (10.0.0.0/16)   │ ── Shared services
└─────────────────┘ ── Network monitoring
    │
    ├─── Spoke VNet 1: Management (10.1.0.0/16)
    │    └── Bastion Hosts, Jump Servers
    │
    ├─── Spoke VNet 2: Processing (10.2.0.0/16) 
    │    └── Databricks, Compute Resources
    │
    └─── Spoke VNet 3: Data (10.3.0.0/16)
         └── Storage, Databases

Network Security Controls¶

Virtual Network (VNet) Security¶

• Network Segmentation: Hub-and-spoke topology
• Subnet Isolation: Databricks compute in dedicated subnets
• Network Security Groups: Restrictive inbound/outbound rules
• User-Defined Routes: Traffic routing through network appliances

Private Networking¶

• Private Endpoints: All Azure services use private connectivity
• Service Endpoints: Optimized routing for storage services
• VNet Integration: Databricks with VNet injection
• No Public IPs: Compute resources have no internet access

Network Monitoring¶

• Network Watcher: Traffic analysis and diagnostics
• Flow Logs: NSG traffic logging
• Connection Monitor: End-to-end connectivity testing
• Traffic Analytics: ML-powered network insights

Firewall & Access Control¶

```text┌─────────────────┐ │ Azure Firewall │ ── Centralized network security │ │ ── Application/Network rules │ Rules: │ ── Threat intelligence │ • Outbound HTTP │ ── DNS proxy │ • Database │ │ • Management │ └─────────────────┘ │ ▼ ┌─────────────────┐ │ Network Security│ ── Subnet-level protection │ Groups │ ── Port/protocol filtering │ │ ── Source/destination rules │ Default: DENY │ ── Application security groups └─────────────────┘

## Identity & Access Management

### Azure Active Directory Integration

#### Authentication Methods
- **Primary**: Azure AD with SAML 2.0
- **Multi-Factor**: SMS, Phone, Authenticator App
- **Conditional Access**: Device compliance required
- **Passwordless**: Windows Hello for Business

#### Service Principal Management
```textData Analytics Service Principal
├── Databricks Workspace Access
│   ├── Workspace Admin (Limited users)
│   ├── Cluster Creator (Data engineers)
│   └── Workspace User (Analysts)
├── Storage Account Access
│   ├── Storage Blob Data Contributor
│   └── Storage Queue Data Contributor
└── Key Vault Access
    ├── Key Vault Crypto User
    └── Key Vault Secrets User

Role-Based Access Control (RBAC)¶

Built-in Roles¶

Custom Roles¶

{
  "Name": "Databricks Data Pipeline Developer",
  "Description": "Can manage data pipelines but not infrastructure",
  "Actions": [
    "Microsoft.Databricks/workspaces/dbworkspace/clusters/create",
    "Microsoft.Databricks/workspaces/dbworkspace/jobs/*",
    "Microsoft.Storage/storageAccounts/blobServices/containers/blobs/read",
    "Microsoft.Storage/storageAccounts/blobServices/containers/blobs/write"
  ],
  "NotActions": [
    "Microsoft.Databricks/workspaces/write",
    "Microsoft.Databricks/workspaces/delete"
  ]
}

Fine-Grained Access Control¶

Unity Catalog Security¶

• Metastore-level: Admin users only
• Catalog-level: Business domain separation
• Schema-level: Team-based access control
• Table-level: Column and row-level security

Data Access Patterns¶

-- Row-level security example
CREATE OR REPLACE VIEW sales_data_secure AS
SELECT 
    order_id,
    customer_id,
    product_id,
    amount,
    region
FROM sales_data
WHERE region IN (
    SELECT region 
    FROM user_region_mapping 
    WHERE user_id = current_user()
);

-- Column masking example  
CREATE OR REPLACE VIEW customer_data_masked AS
SELECT 
    customer_id,
    CASE 
        WHEN is_member('analysts') THEN email 
        ELSE CONCAT('***@', SPLIT(email, '@')[1])
    END AS email,
    first_name,
    last_name
FROM customer_data;

Data Protection¶

Encryption Strategy¶

Encryption at Rest¶

• Azure Storage: Customer-managed keys (CMK) in Key Vault
• Databricks: DBFS with customer-managed keys
• Managed Disks: Encryption with platform-managed keys
• Key Rotation: Automated 90-day rotation

Encryption in Transit¶

• TLS 1.3: All external communications
• TLS 1.2: Internal service communications
• Certificate Management: Automated certificate lifecycle
• Perfect Forward Secrecy: Ephemeral key exchange

Key Management¶

```textAzure Key Vault ├── Customer Managed Keys │ ├── Storage Account Encryption Key │ ├── Databricks DBFS Key
│ └── SQL Database TDE Key ├── Application Secrets │ ├── Kafka Connection Strings │ ├── Database Credentials │ └── API Keys └── Certificates ├── TLS Certificates ├── Code Signing Certificates └── Client Certificates

### Data Classification & Labeling

#### Classification Levels
| Level | Description | Examples | Controls |
|-------|-------------|----------|----------|
| **Public** | Publicly available data | Marketing materials | Standard encryption |
| **Internal** | Company confidential | Business metrics | Access controls |
| **Confidential** | Sensitive business data | Customer PII | Enhanced encryption |
| **Restricted** | Highly sensitive data | Financial data | Maximum security |

#### Microsoft Purview Integration
- **Data Discovery**: Automated data cataloging
- **Sensitivity Labels**: Auto-applied based on content
- **Policy Enforcement**: DLP policies across data estate
- **Compliance Reporting**: Real-time compliance dashboards

### Data Loss Prevention (DLP)

#### DLP Policies
```yaml
Policy: Prevent PII Exfiltration
Conditions:
  - Content contains: SSN, Credit Card, Email
  - User location: External to corporate network
  - Data classification: Confidential or above
Actions:
  - Block file download
  - Send alert to security team
  - Log incident for investigation

Data Residency & Sovereignty¶

• Azure Regions: Data stored in specific geographic regions
• Cross-Border Controls: Restrictions on data movement
• Compliance Requirements: GDPR, CCPA, HIPAA adherence
• Audit Trails: Complete data lineage tracking

Compliance Framework¶

Regulatory Compliance¶

SOC 2 Type II¶

• Security: Access controls and monitoring
• Availability: 99.99% uptime SLA
• Processing Integrity: Data validation and processing
• Confidentiality: Encryption and access controls
• Privacy: PII protection and retention policies

ISO 27001 Controls¶

Industry-Specific Compliance¶

GDPR (General Data Protection Regulation) - Right to be Forgotten: Automated data deletion - Data Portability: Export capabilities - Consent Management: Granular consent tracking - Breach Notification: 72-hour notification process

HIPAA (Healthcare) - Administrative Safeguards: Policy and procedures - Physical Safeguards: Data center security - Technical Safeguards: Encryption and audit logs - Business Associate Agreements: Vendor contracts

PCI DSS (Payment Card Industry) - Network Security: Firewall configurations - Data Protection: Cardholder data encryption - Vulnerability Management: Regular security testing - Access Control: Strict authentication requirements

Governance Framework¶

Data Governance¶

• Data Stewardship: Business data owners assigned
• Quality Monitoring: Automated data quality checks
• Retention Policies: Automated lifecycle management
• Lineage Tracking: Complete data transformation history

Change Management¶

• Infrastructure Changes: GitOps with approval workflows
• Schema Changes: Backward compatibility validation
• Access Changes: Manager approval required
• Emergency Changes: Break-glass procedures

Monitoring & Threat Detection¶

Security Monitoring Stack¶

```text┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │ Collection │────│ Detection │────│ Response │ │ │ │ │ │ │ │ • Azure Monitor │ │ • Sentinel │ │ • Automated │ │ • Defender │ │ • Custom Rules │ │ Remediation │ │ • Activity Logs │ │ • ML Analytics │ │ • Incident │ │ • Flow Logs │ │ • Threat Intel │ │ Management │ └─────────────────┘ └─────────────────┘ └─────────────────┘

#### Security Information & Event Management (SIEM)
- **Microsoft Sentinel**: Cloud-native SIEM solution
- **Log Collection**: 50+ data sources integrated  
- **Threat Detection**: ML-based anomaly detection
- **Incident Response**: Automated playbooks

#### Key Security Metrics
```yaml
Real-time Monitoring:
  - Failed authentication attempts: >10/hour/user
  - Unusual data access patterns: ML-based detection
  - Network anomalies: Unexpected traffic flows
  - Privilege escalation: Admin role assignments
  - Data exfiltration: Large download volumes

Security KPIs:
  - Mean Time to Detection (MTTD): <5 minutes
  - Mean Time to Response (MTTR): <15 minutes  
  - False Positive Rate: <5%
  - Security Training Completion: 95%

Threat Detection Capabilities¶

Advanced Threat Protection¶

• Microsoft Defender: Endpoint protection
• Azure Defender: Cloud workload protection
• Threat Intelligence: Real-time threat feeds
• Behavioral Analytics: User and entity behavior analytics

Custom Detection Rules¶

// Suspicious data access pattern
let SuspiciousDataAccess = 
    DataLakeStorageAudit
    | where TimeGenerated > ago(1h)
    | where OperationName == "Get Blob"
    | summarize AccessCount = count() by UserPrincipal, bin(TimeGenerated, 10m)
    | where AccessCount > 100
    | project UserPrincipal, TimeGenerated, AccessCount;

SuspiciousDataAccess
| join kind=inner (
    SigninLogs
    | where TimeGenerated > ago(1h)
    | where RiskLevelDuringSignIn == "high"
) on $left.UserPrincipal == $right.UserPrincipalName

Security Operations¶

Security Operations Center (SOC)¶

24/7 Monitoring¶

• Tier 1: Alert triage and initial response
• Tier 2: Incident investigation and escalation
• Tier 3: Advanced threat hunting and forensics
• Security Engineering: Tool development and tuning

Incident Response Process¶

textDetection → Triage → Investigation → Containment → Eradication → Recovery → Lessons Learned ↓ ↓ ↓ ↓ ↓ ↓ ↓ <5 min <15 min <1 hour <2 hours <4 hours <8 hours <72 hours

Vulnerability Management¶

Scanning Schedule¶

• Infrastructure: Weekly vulnerability scans
• Applications: Daily dependency checks
• Containers: Real-time image scanning
• Configurations: Continuous compliance assessment

Patch Management¶

• Critical Patches: 24-48 hours
• High Priority: 1 week
• Medium Priority: 1 month
• Low Priority: Next maintenance window

Security Training & Awareness¶

Training Programs¶

• Security Awareness: Monthly training sessions
• Phishing Simulation: Bi-weekly simulated attacks
• Incident Response: Quarterly tabletop exercises
• Technical Training: Role-specific security training

Metrics & Reporting¶

• Training Completion: 95% target
• Phishing Click Rate: <3% target
• Security Certification: Encourage industry certifications
• Incident Response Time: Continuous improvement

Next Steps¶

1. Review Monitoring Setup - Implement security monitoring
2. Configure Compliance Framework - Detailed compliance procedures
3. Deploy Security Controls - Step-by-step security implementation
4. Establish Security Operations - Operational security procedures

🔒 Security First: This architecture prioritizes security at every layer, implementing defense-in-depth strategies and zero-trust principles.

📊 Continuous Monitoring: Real-time threat detection and response capabilities ensure rapid identification and containment of security incidents.

✅ Compliance Ready: Built-in compliance controls meet SOC 2, ISO 27001, GDPR, HIPAA, and PCI DSS requirements.