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AxiLayer AI · Integrations · Telemetry and observability

LLM proxy integration

Gives security teams one control point for model calls, with access checks, usage counts and a stop.

LiveTelemetry and observability
What it does

What this integration does

The LLM proxy gives model calls one path. Applications using OpenAI and OpenAI-compatible endpoints send calls through it, so AxiSentinel can check access, count usage by system and model, and apply the stop in one place. Security teams gain a control point that sits in line with model traffic.

Benefits

Benefits

Control model access centrallyHelps teams decide which AI systems may reach models, using one point instead of many application settings.
Stop one system on demandLets authorized people cut off model calls for a system when something goes wrong.
See usage by systemShows model call counts by system and model, giving owners a clear view of demand.
Stay consistent across modelsApplies the same access checks and stop to OpenAI and OpenAI-compatible endpoints used through the proxy.
Use cases

Use cases

Stopping one contact center system

A contact center's assistant starts behaving unexpectedly during a busy period. An authorized person stops that system at the proxy, which cuts off its model calls while other services keep helping customers.

Showing model use to reviewers

A lender's model risk team wants to know how much each AI system calls each model. The proxy gives usage by system and model, supporting a clearer conversation with internal reviewers.

One path for product teams

A software company has several product teams calling models in their own way. A single proxy gives its security team one point for access checks, usage counts and the stop.

Coverage is confirmed for your environment during onboarding. Product names belong to their owners and are used only to describe a technical connection.

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