Secure Infrastructure Setup for AI/LLM
Build a hardened, enterprise-grade infrastructure for your AI applications
Defense in Depth
According to the Cloud Security Alliance, securing LLM infrastructure requires multiple layers of defense. No single security control is sufficient. See comprehensive guide.
Infrastructure Security Overview
Current security posture across infrastructure layers
Critical
Network Security
Isolated networks and traffic control
Completeness85%
Critical
Container Security
Hardened runtime environments
Completeness75%
Critical
Cloud Controls
Platform-specific security features
Completeness90%
Zero Trust
Never trust, always verify
Completeness70%
Network Security & Isolation
Implement network segmentation and traffic control based on best practices
AWS VPC Configuration
# Terraform configuration for secure VPC
resource "aws_vpc" "llm_vpc" {
cidr_block = "10.0.0.0/16"
enable_dns_hostnames = true
enable_dns_support = true
tags = {
Name = "llm-secure-vpc"
Environment = "production"
Compliance = "pci-dss"
}
}
# Private subnets for LLM workloads
resource "aws_subnet" "private_llm" {
count = 3
vpc_id = aws_vpc.llm_vpc.id
cidr_block = "10.0.${count.index + 1}.0/24"
availability_zone = data.aws_availability_zones.available.names[count.index]
tags = {
Name = "llm-private-subnet-${count.index + 1}"
Type = "private"
}
}
# Network ACLs with strict rules
resource "aws_network_acl_rule" "llm_ingress" {
network_acl_id = aws_vpc.llm_vpc.default_network_acl_id
rule_number = 100
protocol = "tcp"
rule_action = "allow"
cidr_block = "10.0.0.0/16"
from_port = 443
to_port = 443
}
# VPC Endpoints for private connectivity
resource "aws_vpc_endpoint" "s3" {
vpc_id = aws_vpc.llm_vpc.id
service_name = "com.amazonaws.${var.region}.s3"
vpc_endpoint_type = "Gateway"
route_table_ids = [aws_vpc.llm_vpc.main_route_table_id]
}
resource "aws_vpc_endpoint" "ecr" {
vpc_id = aws_vpc.llm_vpc.id
service_name = "com.amazonaws.${var.region}.ecr.dkr"
vpc_endpoint_type = "Interface"
subnet_ids = aws_subnet.private_llm[*].id
security_group_ids = [aws_security_group.vpc_endpoints.id]
private_dns_enabled = true
}
# Security group for LLM endpoints
resource "aws_security_group" "llm_endpoint" {
name_prefix = "llm-endpoint-"
vpc_id = aws_vpc.llm_vpc.id
ingress {
from_port = 443
to_port = 443
protocol = "tcp"
cidr_blocks = ["10.0.0.0/16"] # Only from within VPC
}
egress {
from_port = 443
to_port = 443
protocol = "tcp"
cidr_blocks = ["10.0.0.0/16"] # Restrict egress
}
tags = {
Name = "llm-endpoint-sg"
}
}
Network Segmentation Strategy
DMZ Layer
- • API Gateway / Load Balancers
- • WAF and DDoS protection
- • TLS termination
- • Rate limiting
Application Layer
- • LLM inference endpoints
- • API middleware
- • Service mesh (Istio/Linkerd)
- • Internal load balancing
Data Layer
- • Model storage (S3/Blob)
- • Vector databases
- • Secrets management
- • Audit log storage
Management Layer
- • Bastion hosts / Jump boxes
- • CI/CD pipelines
- • Monitoring infrastructure
- • Security tooling
Deploy Secure LLM Infrastructure with ParrotRouter
ParrotRouter provides pre-configured, security-hardened infrastructure templates that implement all these best practices out of the box. Deploy with confidence.
References
- [1] OWASP. "OWASP Top 10 for LLM Applications" (2024)
- [2] NIST. "AI Risk Management Framework" (2024)
- [3] Microsoft. "LLM Security Best Practices" (2024)