LLM gateway
An LLM gateway is a mandatory control point between enterprise systems and AI models that applies policy, protects data on the way out and scans responses on the way back.
Definition
An LLM gateway is a single, mandatory control point that every request to an AI model must pass through. It applies policy before the call, protects sensitive data on the way out — redacting or tokenizing it — inspects responses on the way back, and logs the whole interaction for audit.
Why it matters
- Without one, model access is decentralised: every team, script and SDK call becomes its own data-exposure decision.
- It is the only practical place to enforce a protection guarantee that survives changes of model, vendor or team.
- It makes models interchangeable, because the protection lives in the gateway rather than in a particular provider’s features.
How BlueHomer implements it
BlueHomer’s gateway cannot be disabled. Outbound requests pass PII detection and redaction, type-preserving tokenization that keeps relationships intact, and prompt-injection defense; responses are restored to real values for the user, scanned for leaked secrets, and recorded. Private on-premise models receive real data; public models receive protected content according to the account’s policy.
Frequently asked questions
Is an LLM gateway the same as an API proxy?
No. A proxy forwards requests and may add rate limiting or key management. A gateway of this kind evaluates policy, transforms the payload to protect sensitive data, restores it on the response, and produces audit evidence.