As organizations increasingly integrate AI into their applications, securing access to Azure OpenAI services becomes a critical priority. By default, Azure OpenAI can be exposed over the public internet, posing potential security risks. To mitigate these risks, enterprises often restrict OpenAI access using Private Endpoints, ensuring that traffic remains within their Azure Virtual Network (VNET) and preventing direct internet exposure.
However, restricting OpenAI to a private endpoint introduces challenges when external applications, such as those hosted in AWS or on-premises environments, need to securely interact with OpenAI APIs. This is where Azure API Management (APIM) plays a crucial role. By deploying APIM within an internal VNET, it acts as a secure proxy between external applications and the OpenAI service, allowing controlled access while keeping OpenAI private.
To further enhance security and accessibility, Azure Application Gateway (App Gateway) can be placed in front of APIM. This setup enables secure, policy-driven access by managing traffic flow, applying Web Application Firewall (WAF) rules, and enforcing SSL termination if needed.
What This Blog Covers
This blog provides a technical deep dive into setting up a fully secure architecture that integrates Azure OpenAI with APIM, Private Endpoints, and Application Gateway. Specifically, we will walk through:
Configuring Azure OpenAI with a Private Endpoint to restrict public access and ensure communication remains within a secure network.
Deploying APIM in an Internal VNET, allowing it to securely communicate with OpenAI while being inaccessible from the public internet.
Setting up Application Gateway to expose APIM securely, allowing controlled external access with enhanced security.
Configuring VNET, Subnets, and Network Security Groups (NSGs) to enforce network segmentation, traffic control, and security best practices.
By the end of this guide, you will have a production-ready, enterprise-grade setup that ensures:
End-to-end private connectivity for Azure OpenAI through APIM.
Secure external access via Application Gateway while keeping OpenAI hidden from the internet.
Granular network control using VNET, Subnets, and NSGs.
This architecture provides a scalable and secure solution for enterprises needing to expose OpenAI securely without compromising privacy, performance, or compliance.
Prerequisites
Before diving into the integration of Azure API Management (APIM) with Azure OpenAI in a secure, private setup, ensure you have the following in place:
1. Azure Subscription & Required Permissions
An active Azure Subscription with the ability to create resources.
Contributor or Owner access to deploy Virtual Networks (VNETs), Subnets, Network Security Groups (NSGs), Private Endpoints, APIM, and Application Gateway.
2. Networking Setup Knowledge
Familiarity with Azure Virtual Network (VNET) concepts, Subnets, and NSGs is helpful, as we will be designing a controlled network environment.
3. Required Azure Services
The following services are needed for this integration:
Azure Virtual Network (VNET) – To establish a private, secure network.
Subnets & NSGs – For network segmentation and traffic control.
Azure OpenAI Service – Deployed in a region that supports private endpoints.
Azure API Management (APIM) – Deployed in an Internal VNET mode to act as a secure API proxy.
Azure Private Endpoint – To restrict Azure OpenAI access to a private network.
Azure Application Gateway – To expose APIM securely with load balancing and optional Web Application Firewall (WAF).
4. Networking and DNS Requirements
Private DNS Zone: Required to resolve private endpoints within the VNET.
Custom DNS Configuration: If using a custom DNS server, ensure proper forwarding rules are in place.
Firewall/NSG Rules: Ensure necessary inbound and outbound rules allow communication between services.
5. Azure CLI or PowerShell (Optional, but Recommended)
Azure CLI (az commands) or Azure PowerShell for efficient resource deployment.
Once you have these prerequisites in place, we can proceed with designing the secure architecture for integrating Azure OpenAI with APIM using Private Endpoints and Application Gateway.
Architecture Overview
The architecture ensures secure and private connectivity between external users and Azure OpenAI while preventing direct public access to OpenAI’s APIs. It uses Azure API Management (APIM) in an Internal VNET, an Azure Private Endpoint for OpenAI, and an Application Gateway for controlled public exposure.
Key Components & Flow
User Requests
External users access the API via a public endpoint exposed by Azure Application Gateway.
The request passes through App Gateway before reaching APIM, ensuring security and traffic control.
Azure API Management (APIM) – Internal VNET Mode
APIM is deployed in Internal VNET mode, meaning it does not have a public endpoint.
APIM serves as a proxy between external applications and Azure OpenAI, ensuring request validation, rate limiting, and security enforcement.
The Management Plane of APIM still requires a public IP for admin operations, but the Data Plane (API traffic) remains fully private.
Azure Private Endpoint for OpenAI
APIM cannot access Azure OpenAI publicly since OpenAI is secured with a Private Endpoint.
A Private Endpoint allows APIM to securely connect to Azure OpenAI within the same VNET, preventing internet exposure.
This ensures that only APIM within the internal network can send requests to OpenAI.
Managed Identity Authentication
APIM uses a Managed Identity to authenticate securely with Azure OpenAI.
This eliminates the need for hardcoded API keys and improves security by using Azure Role-Based Access Control (RBAC).
Application Gateway for External Access
Since APIM is not publicly accessible, an Azure Application Gateway (App Gateway) is placed in front of it.
App Gateway acts as a reverse proxy that securely exposes APIM to the public while enforcing:
SSL termination for secure HTTPS connections.
Web Application Firewall (WAF) for protection against threats.
Load balancing if multiple APIM instances exist.
Network Segmentation & Security
VNET & Subnets: APIM, OpenAI Private Endpoint, and App Gateway are deployed in separate subnets within an Azure Virtual Network (VNET).
NSGs (Network Security Groups): Strict inbound and outbound rules ensure that only allowed traffic flows between components.
Private DNS: Required to resolve Private Endpoint addresses inside the VNET.
Security Enhancements
No direct internet access to Azure OpenAI, ensuring full privacy.
Controlled API exposure via App Gateway, securing public requests.
Managed Identity for authentication, eliminating hardcoded credentials.
Private Endpoint enforcement, blocking unwanted access from external sources.
This architecture ensures that Azure OpenAI remains secure, APIM acts as a controlled gateway, and external users can access APIs safely through App Gateway.
Azure CLI Script for VNet, Subnets, and NSG Configuration
Securing Azure OpenAI with private endpoints, APIM, and Application Gateway ensures a robust, enterprise-grade architecture that balances security, accessibility, and performance. By leveraging private endpoints, Azure OpenAI remains shielded from public exposure, while APIM acts as a controlled gateway for managing external API access. The addition of Application Gateway provides an extra security layer with SSL termination, WAF protection, and traffic management.
With this setup, organizations can: ✔ Ensure end-to-end private connectivity for Azure OpenAI. ✔ Enable secure external access via APIM and Application Gateway. ✔ Enforce strict network segmentation with VNETs, Subnets, NSGs, and Private DNS. ✔ Strengthen security with Managed Identity authentication and controlled API exposure.
By following this guide, you now have a scalable, production-ready solution to securely integrate Azure OpenAI with external applications, whether they reside in AWS, on-premises, or other cloud environments. Implement these best practices to maintain compliance, minimize security risks, and enhance the reliability of your AI-powered applications.
Updated Feb 24, 2025
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Introduction
\n
As organizations increasingly integrate AI into their applications, securing access to Azure OpenAI services becomes a critical priority. By default, Azure OpenAI can be exposed over the public internet, posing potential security risks. To mitigate these risks, enterprises often restrict OpenAI access using Private Endpoints, ensuring that traffic remains within their Azure Virtual Network (VNET) and preventing direct internet exposure.
\n
However, restricting OpenAI to a private endpoint introduces challenges when external applications, such as those hosted in AWS or on-premises environments, need to securely interact with OpenAI APIs. This is where Azure API Management (APIM) plays a crucial role. By deploying APIM within an internal VNET, it acts as a secure proxy between external applications and the OpenAI service, allowing controlled access while keeping OpenAI private.
\n
To further enhance security and accessibility, Azure Application Gateway (App Gateway) can be placed in front of APIM. This setup enables secure, policy-driven access by managing traffic flow, applying Web Application Firewall (WAF) rules, and enforcing SSL termination if needed.
\n
What This Blog Covers
\n
This blog provides a technical deep dive into setting up a fully secure architecture that integrates Azure OpenAI with APIM, Private Endpoints, and Application Gateway. Specifically, we will walk through:
\n
\n
Configuring Azure OpenAI with a Private Endpoint to restrict public access and ensure communication remains within a secure network.
\n
Deploying APIM in an Internal VNET, allowing it to securely communicate with OpenAI while being inaccessible from the public internet.
\n
Setting up Application Gateway to expose APIM securely, allowing controlled external access with enhanced security.
\n
Configuring VNET, Subnets, and Network Security Groups (NSGs) to enforce network segmentation, traffic control, and security best practices.
\n
\n
By the end of this guide, you will have a production-ready, enterprise-grade setup that ensures:
\n
\n
End-to-end private connectivity for Azure OpenAI through APIM.
\n
Secure external access via Application Gateway while keeping OpenAI hidden from the internet.
\n
Granular network control using VNET, Subnets, and NSGs.
\n
\n
This architecture provides a scalable and secure solution for enterprises needing to expose OpenAI securely without compromising privacy, performance, or compliance.
\n
\n
Prerequisites
\n
Before diving into the integration of Azure API Management (APIM) with Azure OpenAI in a secure, private setup, ensure you have the following in place:
\n
1. Azure Subscription & Required Permissions
\n
\n
An active Azure Subscription with the ability to create resources.
\n
Contributor or Owner access to deploy Virtual Networks (VNETs), Subnets, Network Security Groups (NSGs), Private Endpoints, APIM, and Application Gateway.
\n
\n
2. Networking Setup Knowledge
\n
Familiarity with Azure Virtual Network (VNET) concepts, Subnets, and NSGs is helpful, as we will be designing a controlled network environment.
\n
3. Required Azure Services
\n
The following services are needed for this integration:
\n
\n
Azure Virtual Network (VNET) – To establish a private, secure network.
\n
Subnets & NSGs – For network segmentation and traffic control.
\n
Azure OpenAI Service – Deployed in a region that supports private endpoints.
\n
Azure API Management (APIM) – Deployed in an Internal VNET mode to act as a secure API proxy.
\n
Azure Private Endpoint – To restrict Azure OpenAI access to a private network.
\n
Azure Application Gateway – To expose APIM securely with load balancing and optional Web Application Firewall (WAF).
\n
\n
4. Networking and DNS Requirements
\n
\n
Private DNS Zone: Required to resolve private endpoints within the VNET.
\n
Custom DNS Configuration: If using a custom DNS server, ensure proper forwarding rules are in place.
\n
Firewall/NSG Rules: Ensure necessary inbound and outbound rules allow communication between services.
\n
\n
5. Azure CLI or PowerShell (Optional, but Recommended)
\n
\n
Azure CLI (az commands) or Azure PowerShell for efficient resource deployment.
\n
\n
Once you have these prerequisites in place, we can proceed with designing the secure architecture for integrating Azure OpenAI with APIM using Private Endpoints and Application Gateway.
\n
\n
Architecture Overview
\n\n
\n
The architecture ensures secure and private connectivity between external users and Azure OpenAI while preventing direct public access to OpenAI’s APIs. It uses Azure API Management (APIM) in an Internal VNET, an Azure Private Endpoint for OpenAI, and an Application Gateway for controlled public exposure.
\n
Key Components & Flow
\n\n
User Requests\n
\n
External users access the API via a public endpoint exposed by Azure Application Gateway.
\n
The request passes through App Gateway before reaching APIM, ensuring security and traffic control.
\n
\n
\n
Azure API Management (APIM) – Internal VNET Mode\n
\n
APIM is deployed in Internal VNET mode, meaning it does not have a public endpoint.
\n
APIM serves as a proxy between external applications and Azure OpenAI, ensuring request validation, rate limiting, and security enforcement.
\n
The Management Plane of APIM still requires a public IP for admin operations, but the Data Plane (API traffic) remains fully private.
\n
\n
\n
Azure Private Endpoint for OpenAI\n
\n
APIM cannot access Azure OpenAI publicly since OpenAI is secured with a Private Endpoint.
\n
A Private Endpoint allows APIM to securely connect to Azure OpenAI within the same VNET, preventing internet exposure.
\n
This ensures that only APIM within the internal network can send requests to OpenAI.
\n
\n
\n
Managed Identity Authentication\n
\n
APIM uses a Managed Identity to authenticate securely with Azure OpenAI.
\n
This eliminates the need for hardcoded API keys and improves security by using Azure Role-Based Access Control (RBAC).
\n
\n
\n
Application Gateway for External Access\n
\n
Since APIM is not publicly accessible, an Azure Application Gateway (App Gateway) is placed in front of it.
\n
App Gateway acts as a reverse proxy that securely exposes APIM to the public while enforcing:\n
\n
SSL termination for secure HTTPS connections.
\n
Web Application Firewall (WAF) for protection against threats.
\n
Load balancing if multiple APIM instances exist.
\n
\n
\n
\n
\n
Network Segmentation & Security\n
\n
VNET & Subnets: APIM, OpenAI Private Endpoint, and App Gateway are deployed in separate subnets within an Azure Virtual Network (VNET).
\n
NSGs (Network Security Groups): Strict inbound and outbound rules ensure that only allowed traffic flows between components.
\n
Private DNS: Required to resolve Private Endpoint addresses inside the VNET.
\n
\n
\n\n
Security Enhancements
\n
\n
No direct internet access to Azure OpenAI, ensuring full privacy.
\n
Controlled API exposure via App Gateway, securing public requests.
\n
Managed Identity for authentication, eliminating hardcoded credentials.
\n
Private Endpoint enforcement, blocking unwanted access from external sources.
\n
\n
This architecture ensures that Azure OpenAI remains secure, APIM acts as a controlled gateway, and external users can access APIs safely through App Gateway.
\n
\n
Azure CLI Script for VNet, Subnets, and NSG Configuration
Securing Azure OpenAI with private endpoints, APIM, and Application Gateway ensures a robust, enterprise-grade architecture that balances security, accessibility, and performance. By leveraging private endpoints, Azure OpenAI remains shielded from public exposure, while APIM acts as a controlled gateway for managing external API access. The addition of Application Gateway provides an extra security layer with SSL termination, WAF protection, and traffic management.
\n
With this setup, organizations can: ✔ Ensure end-to-end private connectivity for Azure OpenAI. ✔ Enable secure external access via APIM and Application Gateway. ✔ Enforce strict network segmentation with VNETs, Subnets, NSGs, and Private DNS. ✔ Strengthen security with Managed Identity authentication and controlled API exposure.
\n
By following this guide, you now have a scalable, production-ready solution to securely integrate Azure OpenAI with external applications, whether they reside in AWS, on-premises, or other cloud environments. Implement these best practices to maintain compliance, minimize security risks, and enhance the reliability of your AI-powered applications.
","body@stringLength":"25153","rawBody":"
Introduction
\n
As organizations increasingly integrate AI into their applications, securing access to Azure OpenAI services becomes a critical priority. By default, Azure OpenAI can be exposed over the public internet, posing potential security risks. To mitigate these risks, enterprises often restrict OpenAI access using Private Endpoints, ensuring that traffic remains within their Azure Virtual Network (VNET) and preventing direct internet exposure.
\n
However, restricting OpenAI to a private endpoint introduces challenges when external applications, such as those hosted in AWS or on-premises environments, need to securely interact with OpenAI APIs. This is where Azure API Management (APIM) plays a crucial role. By deploying APIM within an internal VNET, it acts as a secure proxy between external applications and the OpenAI service, allowing controlled access while keeping OpenAI private.
\n
To further enhance security and accessibility, Azure Application Gateway (App Gateway) can be placed in front of APIM. This setup enables secure, policy-driven access by managing traffic flow, applying Web Application Firewall (WAF) rules, and enforcing SSL termination if needed.
\n
What This Blog Covers
\n
This blog provides a technical deep dive into setting up a fully secure architecture that integrates Azure OpenAI with APIM, Private Endpoints, and Application Gateway. Specifically, we will walk through:
\n
\n
Configuring Azure OpenAI with a Private Endpoint to restrict public access and ensure communication remains within a secure network.
\n
Deploying APIM in an Internal VNET, allowing it to securely communicate with OpenAI while being inaccessible from the public internet.
\n
Setting up Application Gateway to expose APIM securely, allowing controlled external access with enhanced security.
\n
Configuring VNET, Subnets, and Network Security Groups (NSGs) to enforce network segmentation, traffic control, and security best practices.
\n
\n
By the end of this guide, you will have a production-ready, enterprise-grade setup that ensures:
\n
\n
End-to-end private connectivity for Azure OpenAI through APIM.
\n
Secure external access via Application Gateway while keeping OpenAI hidden from the internet.
\n
Granular network control using VNET, Subnets, and NSGs.
\n
\n
This architecture provides a scalable and secure solution for enterprises needing to expose OpenAI securely without compromising privacy, performance, or compliance.
\n
\n
Prerequisites
\n
Before diving into the integration of Azure API Management (APIM) with Azure OpenAI in a secure, private setup, ensure you have the following in place:
\n
1. Azure Subscription & Required Permissions
\n
\n
An active Azure Subscription with the ability to create resources.
\n
Contributor or Owner access to deploy Virtual Networks (VNETs), Subnets, Network Security Groups (NSGs), Private Endpoints, APIM, and Application Gateway.
\n
\n
2. Networking Setup Knowledge
\n
Familiarity with Azure Virtual Network (VNET) concepts, Subnets, and NSGs is helpful, as we will be designing a controlled network environment.
\n
3. Required Azure Services
\n
The following services are needed for this integration:
\n
\n
Azure Virtual Network (VNET) – To establish a private, secure network.
\n
Subnets & NSGs – For network segmentation and traffic control.
\n
Azure OpenAI Service – Deployed in a region that supports private endpoints.
\n
Azure API Management (APIM) – Deployed in an Internal VNET mode to act as a secure API proxy.
\n
Azure Private Endpoint – To restrict Azure OpenAI access to a private network.
\n
Azure Application Gateway – To expose APIM securely with load balancing and optional Web Application Firewall (WAF).
\n
\n
4. Networking and DNS Requirements
\n
\n
Private DNS Zone: Required to resolve private endpoints within the VNET.
\n
Custom DNS Configuration: If using a custom DNS server, ensure proper forwarding rules are in place.
\n
Firewall/NSG Rules: Ensure necessary inbound and outbound rules allow communication between services.
\n
\n
5. Azure CLI or PowerShell (Optional, but Recommended)
\n
\n
Azure CLI (az commands) or Azure PowerShell for efficient resource deployment.
\n
\n
Once you have these prerequisites in place, we can proceed with designing the secure architecture for integrating Azure OpenAI with APIM using Private Endpoints and Application Gateway.
\n
\n
Architecture Overview
\n\n
\n
The architecture ensures secure and private connectivity between external users and Azure OpenAI while preventing direct public access to OpenAI’s APIs. It uses Azure API Management (APIM) in an Internal VNET, an Azure Private Endpoint for OpenAI, and an Application Gateway for controlled public exposure.
\n
Key Components & Flow
\n\n
User Requests\n
\n
External users access the API via a public endpoint exposed by Azure Application Gateway.
\n
The request passes through App Gateway before reaching APIM, ensuring security and traffic control.
\n
\n
\n
Azure API Management (APIM) – Internal VNET Mode\n
\n
APIM is deployed in Internal VNET mode, meaning it does not have a public endpoint.
\n
APIM serves as a proxy between external applications and Azure OpenAI, ensuring request validation, rate limiting, and security enforcement.
\n
The Management Plane of APIM still requires a public IP for admin operations, but the Data Plane (API traffic) remains fully private.
\n
\n
\n
Azure Private Endpoint for OpenAI\n
\n
APIM cannot access Azure OpenAI publicly since OpenAI is secured with a Private Endpoint.
\n
A Private Endpoint allows APIM to securely connect to Azure OpenAI within the same VNET, preventing internet exposure.
\n
This ensures that only APIM within the internal network can send requests to OpenAI.
\n
\n
\n
Managed Identity Authentication\n
\n
APIM uses a Managed Identity to authenticate securely with Azure OpenAI.
\n
This eliminates the need for hardcoded API keys and improves security by using Azure Role-Based Access Control (RBAC).
\n
\n
\n
Application Gateway for External Access\n
\n
Since APIM is not publicly accessible, an Azure Application Gateway (App Gateway) is placed in front of it.
\n
App Gateway acts as a reverse proxy that securely exposes APIM to the public while enforcing:\n
\n
SSL termination for secure HTTPS connections.
\n
Web Application Firewall (WAF) for protection against threats.
\n
Load balancing if multiple APIM instances exist.
\n
\n
\n
\n
\n
Network Segmentation & Security\n
\n
VNET & Subnets: APIM, OpenAI Private Endpoint, and App Gateway are deployed in separate subnets within an Azure Virtual Network (VNET).
\n
NSGs (Network Security Groups): Strict inbound and outbound rules ensure that only allowed traffic flows between components.
\n
Private DNS: Required to resolve Private Endpoint addresses inside the VNET.
\n
\n
\n\n
Security Enhancements
\n
\n
No direct internet access to Azure OpenAI, ensuring full privacy.
\n
Controlled API exposure via App Gateway, securing public requests.
\n
Managed Identity for authentication, eliminating hardcoded credentials.
\n
Private Endpoint enforcement, blocking unwanted access from external sources.
\n
\n
This architecture ensures that Azure OpenAI remains secure, APIM acts as a controlled gateway, and external users can access APIs safely through App Gateway.
\n
\n
Azure CLI Script for VNet, Subnets, and NSG Configuration
Securing Azure OpenAI with private endpoints, APIM, and Application Gateway ensures a robust, enterprise-grade architecture that balances security, accessibility, and performance. By leveraging private endpoints, Azure OpenAI remains shielded from public exposure, while APIM acts as a controlled gateway for managing external API access. The addition of Application Gateway provides an extra security layer with SSL termination, WAF protection, and traffic management.
\n
With this setup, organizations can: ✔ Ensure end-to-end private connectivity for Azure OpenAI. ✔ Enable secure external access via APIM and Application Gateway. ✔ Enforce strict network segmentation with VNETs, Subnets, NSGs, and Private DNS. ✔ Strengthen security with Managed Identity authentication and controlled API exposure.
\n
By following this guide, you now have a scalable, production-ready solution to securely integrate Azure OpenAI with external applications, whether they reside in AWS, on-premises, or other cloud environments. Implement these best practices to maintain compliance, minimize security risks, and enhance the reliability of your AI-powered applications.
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