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AI Proxy

Reviewed 19 July 2026 Canonical definition Part of: Agent Observability Terms →

An AI proxy is an intermediary layer that intercepts traffic between AI agents and the systems they interact with, such as model APIs, MCP servers, or enterprise data sources, to inspect, filter, log, and enforce policies on requests and responses. AI proxies implement governance controls without requiring changes to the agents themselves, making them particularly useful for governing legacy or third-party agent deployments.

§01 / QUESTIONSterm: AI Proxy
Questions

Common questions.

What is AI Proxy?

An AI proxy is an intermediary layer that intercepts traffic between AI agents and the systems they interact with, such as model APIs, MCP servers, or enterprise data sources, to inspect, filter, log, and enforce policies on requests and responses.

How is AI Proxy used in production?

AI proxies implement governance controls without requiring changes to the agents themselves, making them particularly useful for governing legacy or third-party agent deployments.

Which terms are related to AI Proxy?

Closely related concepts include Agent Tracing, AI Compliance Officer, AI Governance Analyst, Agent Classification. Each is defined in the Prefactor glossary.

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