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Use case · Gateway
Internal apps built on OpenAI, Anthropic or Azure OpenAI
Every internal AI app is a new path for sensitive data to reach a model provider. Routing those API calls through WALLIOO Gateway gives you one place to protect data, control models and see costs — with a one-line change in each app.
Who it is for
Development teams shipping chatbots, copilots and internal apps on OpenAI, Anthropic or Azure OpenAI.
What it covers
Every model API call from your applications, through WALLIOO Gateway — one URL change, no code rewrite.
What you get
- Personal data never reaches the model provider
- Only approved models, within budget
- Secrets never sent to a model
The problem
What goes wrong without control
- Each team builds its own masking — or none at all.
- API keys and model choices are scattered across projects.
- Nobody sees total spend until the invoice arrives.
How WALLIOO solves it
The flow
Customer chatbotSDK · API
Internal copilotSDK · API
Gateway
Mask
Models
Quotas
Log
Every decision recorded in WALLIOO Control
OpenAI · Azure OpenAIAPI
AnthropicAPI
Google Gemini · AWS BedrockAPI
In the product
What your teams see
Real WALLIOO screens, with example data.
The policy
| Situation | Decision | What happens |
|---|---|---|
| Prompt contains customer PII | MASK | Masked on the way out, restored in the response. |
| Model not on the approved list | TRANSFORM | Routed to the approved model, or blocked — your choice per flow. |
| Password or API key in a prompt | BLOCK | The call never reaches the model; the app gets a clear error. |
| App exceeds its monthly budget | BLOCK + ALERT | The owner is notified before costs run away. |
| Every call | LOG | App, model, tokens, cost and latency — without the prompt. |
Works with
OpenAI APIAzure OpenAIAnthropic APIGoogle Gemini APIAWS Bedrock
The outcome
One integration
Change the base URL; protection applies to every app.
Approved models only
Model and region choices follow company policy.
Costs under control
Budgets per app, visible in real time.