Useful Context. Protected Credentials.

Developers do not only need redaction. They need AI workflows that still understand the task while keeping credentials and sensitive personal information away from model-provider context.

AIOrouter is designed for that practical boundary: preserve enough context for useful answers, reduce sensitive data before provider routing, and keep account identity and billing details inside the AIOrouter control layer.

What AIOrouter Protects

AIOrouter applies privacy filtering before protected request content is forwarded to a selected AI provider. The goal is to reduce exposure of common sensitive information and technical secrets while still allowing normal support, code, document, and operations workflows to run.

This is especially important for API products because prompts often include mixed content: natural-language instructions, file names, logs, stack traces, customer references, and accidental secret-like values.

What We Do Not Claim

No automated privacy system can guarantee perfect detection of every possible sensitive value. Novel formats, obfuscated content, mixed-language text, and unusual logs can still create edge cases.

For workloads that require zero export of sensitive personal information or technical secrets, customers should avoid sending those values in prompts and should use additional customer-side controls.

Why It Matters

Without a gateway privacy boundary, request content can move directly from an application into an external model provider. AIOrouter adds a Canada-resident control layer that authenticates the request, applies privacy filtering and abuse-prevention controls, routes to the selected model, and returns the response through the gateway.

That lets teams adopt stronger models while keeping a clearer boundary between internal account data, sensitive request content, and external provider inference.

Security Review

Additional control details and evidence are available to qualified enterprise customers during security review.