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This officially open-sourced Terraform module by Alibaba Cloud provides a comprehensive security protection system for large language model (LLM) applications, including VPC network isolation, ECS computing resources, RAM identity management, and automated deployment of security tools.
Section 01
This officially open-sourced Terraform module by Alibaba Cloud provides a comprehensive security protection system for large language model (LLM) applications, including VPC network isolation, ECS computing resources, RAM identity management, and automated deployment of security tools.
Section 02
Section 03
With the explosive growth of large language models (LLMs) like ChatGPT and Claude, more and more enterprises are integrating LLMs into their core business systems. However, the security challenges faced by LLM applications are becoming increasingly severe: prompt injection attacks, sensitive data leaks, model abuse, lack of access control, and other issues emerge one after another. Traditional application security protection methods are difficult to deal with the unique security threats of LLMs, so enterprises urgently need a dedicated security protection system for LLM applications.
As a leading domestic cloud service provider, Alibaba Cloud has launched a security solution for LLM applications. To help enterprises quickly deploy this security system, the Alibaba Cloud Automation Team has open-sourced this Terraform module, allowing enterprises to build an enterprise-grade security protection environment for LLM applications with one click through Infrastructure as Code (IaC).
Section 04
This Terraform module adopts a layered architecture design, integrating multiple core services of Alibaba Cloud to build a complete security protection system:
Section 05
The module first creates an independent VPC (Virtual Private Cloud) network environment, achieving complete network-level isolation through a custom CIDR block (default: 192.168.0.0/16). With the VSwitch (default: 192.168.1.0/24), LLM applications are deployed in an independent secure network area, achieving network-level physical isolation from other business systems of the enterprise.
This design effectively prevents the risk of lateral attacks—even if other business systems are compromised, attackers cannot directly access the network area where the LLM applications are located.
Section 06
The module supports batch creation of multiple ECS instances via the for_each pattern to meet high-availability deployment requirements. Developers can configure primary and standby instances, or create multiple worker nodes according to business load. Each instance supports custom parameters such as image, instance type, and system disk configuration.
Notably, the module uses Ubuntu 20.04 LTS as the default base image, which is a long-term verified stable distribution with good security update support.
Section 07
The module automatically creates dedicated RAM (Resource Access Management) users for secure access to LLM applications. Through fine-grained permission policy configuration, the module attaches security-related policies such as AliyunYundunGreenWebFullAccess to RAM users, ensuring only authorized users can access sensitive resources.
Additionally, the module supports generating RAM Access Keys, facilitating applications to securely call Alibaba Cloud services via API.
Section 08
The module automatically configures security group rules, opening HTTP (80) and HTTPS (443) ports by default, while supporting custom port ranges via configuration. Security group rules use a whitelist mechanism—only explicitly allowed traffic can enter ECS instances.
Developers can flexibly configure inbound and outbound rules according to actual needs to achieve fine-grained control over network traffic.
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