Managing AI security infrastructure manually doesn't scale. Here's how to codify your AI security controls with Terraform.
Module Structure
A reusable AI gateway module should include:
- Compute resources (ECS, AKS, GKE)
- Networking (VPC, subnets, security groups)
- Load balancing (ALB, Azure LB, GCP LB)
- Monitoring (CloudWatch, Azure Monitor, Cloud Monitoring)
- Logging (CloudWatch Logs, Log Analytics, Cloud Logging)
AWS Module Example
Key resources:
- ECS Fargate cluster for gateway containers
- Application Load Balancer with TLS termination
- VPC with private subnets
- CloudWatch log groups and metrics
- IAM roles with least privilege
Multi-Cloud Considerations
- Abstract provider-specific resources behind consistent interfaces
- Use workspace-per-environment pattern
- Implement consistent tagging across providers
- Centralize state management
CI/CD Integration
- Plan on PR, apply on merge
- Required approvals for production changes
- Drift detection and automated remediation
- Cost estimation before apply
Infrastructure as code for AI security isn't optional—it's the only way to maintain consistency and auditability at scale.
Marcus specializes in infrastructure automation and cloud-native security. He maintains several popular open-source Terraform modules and has architected deployments serving millions of users.
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