How do I secure Azure OpenAI Service applications?

Integrate Wardstone Guard with your Azure OpenAI Service application to detect prompt injections, jailbreaks, harmful content, and data leakage. Wardstone validates inputs before they reach Azure OpenAI and screens outputs before returning them to users.

Azure OpenAI Service + Wardstone

Enterprise-Grade LLM Security

Add defense-in-depth to your Azure OpenAI deployments with Wardstone Guard. Complement Azure's enterprise security with purpose-built LLM threat detection.

12 Supported Models· all protected with sub-30ms latency

GPT-5.2GPT-5.1o3-miniGPT-4.1GPT-4.1 miniGPT-4o+6 more

Try the Playground Visit Azure OpenAI

Why Secure Azure OpenAI?

Compliance Violations

High Risk

Enterprise deployments face regulatory risk if LLMs generate non-compliant content or leak sensitive data.

Data Exfiltration

High Risk

Prompt attacks can trick models into revealing training data or confidential information in responses.

Bypass of Azure Safety

Medium Risk

Azure's content filters can be bypassed with sophisticated prompt engineering techniques.

Security Considerations

1
Azure Content Safety focuses on content moderation, not prompt attacks
2
Responsible AI features are opt-in and require configuration
3
Private endpoints don't protect against application-layer attacks
4
Wardstone adds LLM-specific threat detection to Azure's infrastructure security

How to Integrate

Deploy Wardstone in your Azure environment
Run Wardstone as a service in your VNet for data residency compliance.
Route requests through Wardstone
Configure your application to validate inputs before calling Azure OpenAI.
Enable output screening
Scan model responses for PII, sensitive data, and policy violations.
Integrate with Azure monitoring
Send Wardstone metrics to Azure Monitor for unified observability.

Pricing Note

Azure OpenAI uses consumption-based pricing. Wardstone's security layer integrates with your existing Azure cost management.

Secure Azure OpenAI Service with Wardstone

# Step 1: Check user input with Wardstone
curl -X POST "https://api.wardstone.ai/v1/detect" \
  -H "Authorization: Bearer YOUR_WARDSTONE_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "User message here"}'
 
# Response: { "prompt_attack": { "detected": false, ... } }
 
# Step 2: If safe, send to Azure OpenAI
curl -X POST "https://YOUR_RESOURCE.openai.azure.com/openai/deployments/your-gpt5-deployment/chat/completions?api-version=2024-02-01" \
  -H "api-key: YOUR_AZURE_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "messages": [{"role": "user", "content": "User message here"}]
  }'
 
# Step 3: Check Azure OpenAI response with Wardstone before returning to user

Common Use Cases

Enterprise chatbots with compliance requirements

Internal knowledge assistants

Document processing pipelines

Customer-facing AI applications

Regulated industry deployments

All Supported Azure OpenAI Models

Wardstone Guard protects all Azure OpenAI Service models with the same comprehensive security coverage. Whether you're using the latest releases or legacy models still in production, every API call is protected.

GPT-5.2

GPT-5.1

o3-mini

GPT-4.1

GPT-4.1 mini

GPT-4o

GPT-4o mini

GPT-4 Turbo

GPT-4

GPT-3.5 Turbo

text-embedding-3-large

text-embedding-3-small