Workato AI Gateway

One layer that governs every model call, every tool, every agent, and every API request, split into four purpose-built surfaces underneath.
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Why govern them as one layer

Requests don't stay in one lane - your gateway shouldn't either

A single agent action can cross all four surfaces in one call: an agent (Agent Gateway) calls a model (Model Gateway) to decide what to do, reaches a tool over MCP (MCP Gateway), and that tool executes against an API (API Gateway). Govern these separately and you get four audit trails that don't connect, and a policy you have to set four times. Govern them under one layer, and a single rule - a masked PII field, a blocked model, a revoked key - applies the instant you set it, wherever in the chain it would have mattered.

  • lock

    One identity, four surfaces

    Enterprise SSO, SCIM provisioning, and role-based access apply the same way whether the caller is an application hitting the Model Gateway or an agent or user invoking a tool through the MCP Gateway.

  • compliance

    One policy, resolved consistently

    PII masking, prompt-injection screening, and content moderation are defined once and enforced at whichever gateway the request happens to hit, in enforce or observe-only mode.

  • complex

    One audit trail, start to finish

    Trace a single action from the prompt that triggered it through the tool it called and the API it hit, instead of stitching four logs together after an incident.

What's inside the AI Gateway

  • Model Gateway

    Model Gateway

    Control model traffic across every provider. Set an approved-model list, route by rule or by intelligence, assign virtual keys and policy at the user or group level, and get failover, token metering, and guardrails built in.

    Learn more
  • MCP Gateway

    MCP Gateway

    Govern access to tools and systems over the Model Context Protocol. Stand up remote MCP servers instantly, expose Workato assets as tools, set tool-level access and rate limits, and bring third-party MCP servers under the same governance by proxy.

    Learn more
  • Agent Gateway

    Agent Gateway

    Govern agents and the work they delegate - agent-to-agent collaboration, task delegation to sub-agents under the same policy, lifecycle and versioning, session and memory, and human-in-the-loop approval before anything consequential happens.

    Learn more
  • API Gateway

    API Gateway

    Manage APIs from design to deployment, and apply enterprise-grade security and governance to every endpoint — with a self-service developer portal, built so teams and partners can get moving on their own.

    Learn more
    • How it works

    Governing the model isn't enough anymore

    A model gateway alone can't see what an agent does with the answer, or which system it touches next. The Workato AI Gateway governs the full request lifecycle - every model, tool, agent, and API - under one set of rules, so a policy you set once actually holds end to end.

    What each team can do with it


    Platform/AI Engineering
    Stand up one governed layer for every kind of AI traffic instead of building and maintaining four separate tools.

    Security & Compliance
    Set a policy once and know it's enforced everywhere AI touches your systems, not just at the model call.

    Finance/FinOps
    See spend across models, tools, and agents in one view instead of four invoices.

    Frequently asked questions

    • What is an AI Gateway?

      Broadly, an AI gateway is the enforcement point between what an organization uses AI for and what AI itself calls - authentication, access control, safety policy, rate limits, cost caps, and logging in one place. Many vendors use the term narrowly, to mean only the model layer.

      At Workato, the AI Gateway is one layer with four surfaces underneath it: the Model Gateway, the MCP Gateway, the Agent Gateway, and the API Gateway - each addressable on its own, all sharing one identity model, one policy model, and one audit trail.

    • Is the AI Gateway the same as an LLM Gateway or Model Gateway?

      No. The Model Gateway - Workato's LLM/model-layer product - is one of the four gateways inside the AI Gateway. If you only need to govern model calls, start there. If you also need to govern tool access, agent behavior, or traditional APIs, the AI Gateway is the layer that covers all four under one policy.

    • How is this different from a point AI/LLM gateway (a single-purpose model gateway)?

      A point gateway governs the model call and stops there - it has no visibility into what an agent does with the model's answer, or which system a tool call reaches. Because Workato sits on the execution path - the same platform that runs the write, the query, the update against your actual business systems - its AI Gateway governs the action, not just the prompt.

    • Do I have to adopt all four gateways?

      No. Most customers start with one - usually the Model Gateway or the MCP Gateway - and add the others as the need shows up. Because identity, policy, and audit are shared, adding a second or third gateway isn't a second governance project.

    • Does the AI Gateway replace my API gateway?

      Not necessarily - it depends on what you need. The API Gateway inside Workato's AI Gateway is a full API management surface (design, deployment, developer portal); many customers use it directly. Others keep an existing API gateway for service-to-service traffic and add Workato specifically for AI traffic. Either way, an API exposed through Workato's API Gateway can also be published as a governed agent tool via the MCP Gateway, so the same policy covers both.

    • What sits above the AI Gateway?

      The Workato AI Control Plane - the AI Registry & Catalog (what's approved and reusable) and AI Security & Governance (the policy, identity, cost, and audit that span the AI Gateway and every other AI system in the company, not just Workato's).