Setting up Azure OpenAI Guardrails

Azure OpenAI Guardrails

Use Portkey to enforce structured inputs, safe outputs, and usage policies across all Azure OpenAI requests. Configure verdict actions like async checks, request denial, and feedback logging, according to your enforcement needs.

Azure OpenAI Guardrails

Azure OpenAI brings the power of OpenAI’s models like GPT-4, GPT-4o, and Whisper to enterprise environments with enhanced security, compliance, and scalability. But production-grade usage still needs robust controls. With Portkey, you can apply customizable guardrails to every Azure OpenAI request, ensuring safety, compliance, and governance without changing your application code.

Azure OpenAI is commonly used for secure enterprise chatbots, document processing, summarization, code generation, and more. With full support for Azure’s API structure and private endpoints, Portkey lets you enforce guardrails, monitor usage, and route requests intelligently across all Azure OpenAI deployments.

With Portkey, you can:

Portkey supports all Azure OpenAI models out of the box and can be deployed in hours, not weeks, making it the easiest way to bring enterprise-grade control to your AI stack.

World-Class Guardrail Partners

Integrate top guardrail platforms with Portkey to run your custom policies seamlessly — from content filtering and PII detection to moderation and compliance. Ensure every AI request is safe, auditable, and aligned with your enterprise standards.

Partner Guardrails

How to add guardrails to Azure OpenAI with Portkey

Adding Portkey Guardrails in production is just a 4-step process:

  1. Create Guardrail Checks
  2. Create Guardrail Actions
  3. Enable Guardrail through Configs
  4. Attach the Config to a Request

Guardrail action settings

Latest guides and resources

Frequently Asked Questions

Safeguard your Azure OpenAI requests now.

Whether you're running production workloads or scaling across teams, Portkey’s guardrails give you control without compromise.