Azure AI Security Best Practices
Secure your AI workloads on Microsoft Azure with comprehensive security controls for Azure Machine Learning, Azure OpenAI Service, and other Azure AI services.
Azure ML Security
- • Virtual network integration
- • Managed identities
- • Private endpoints
- • Workspace access control
Azure OpenAI Security
- • API key management
- • Content filtering
- • Abuse monitoring
- • Data residency controls
Identity & Access
- • Azure AD integration
- • RBAC policies
- • Conditional access
- • Privileged Identity Management
Security Architecture
Network Security
- • Deploy in Azure Virtual Networks with NSGs
- • Use Private Link for secure connectivity
- • Implement Azure Firewall for traffic filtering
- • Enable DDoS Protection Standard
Data Protection
- • Encryption at rest with customer-managed keys
- • TLS 1.2+ for data in transit
- • Azure Key Vault for secrets management
- • Data classification and labeling
Monitoring & Compliance
- • Azure Monitor for logging and metrics
- • Microsoft Defender for Cloud
- • Azure Policy for compliance enforcement
- • Microsoft Sentinel for SIEM