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The center / Governed Model Access

Your models. One policy. Every call accounted for.

Governed model access is the single point through which every agent that touches production reaches a language model. You decide which models, on which data, at what cost. NeuBird enforces it for every agent and records every call.

Why model access belongs in the center

A dozen agents with a dozen API keys is not a policy. It is a hope.

Every team that ships an agent against production makes the same decisions in isolation: which model, which provider, what data may leave the boundary, who pays. Multiply that by the number of agents and the security review never ends.

Governed model access makes those decisions once, at the center. Agents call models through it, not around it. Security approves a policy instead of auditing a dozen implementations. Finance sees one bill with every call attributed.

Without a center

  • Each agent holds its own provider credentials
  • Data boundaries are enforced per agent, if at all
  • Model spend is scattered across team budgets
  • Every new agent restarts the security review

With Governed Model Access

  • One policy applied to every model call
  • Approved providers and data boundaries, enforced centrally
  • Spend attributed to agent, task, and team
  • New agents inherit the approval on day one
What it governs

Policy, routing, and audit for every model call.

Governed model access sits between every agent and every model. It is where your choices about providers, data, and spend become enforceable.

Approved models

Allow specific models for specific tasks, including models hosted in your own AWS, Azure, or Google Cloud account.

Data boundaries

Control which classes of telemetry may be sent to which provider. Redaction and scoping are applied before a request leaves the center.

Routing and fallback

Route by task, cost, or latency. Fail over between approved providers without any agent changing a line of code.

No credentials in agents

Agents never hold provider keys. Rotate a credential once at the center and every agent picks it up.

Per-call audit

Agent, task, model, policy, tokens, and cost recorded for every call, exportable to your SIEM.

Cost controls

Budgets and rate limits by agent or team, with attribution that shows exactly which work consumed which spend.

FAQ

Frequently asked questions

Which models can NeuBird use?

NeuBird works with the frontier models you already approve, including models hosted in your own cloud account through AWS Bedrock, Azure OpenAI, and Google Vertex AI. You choose which models are allowed, for which tasks, and NeuBird routes every agent through that policy.

Does our production data get sent to a model provider?

Only what the policy allows, and only to the providers you approve. Context engineering narrows each request to the telemetry the question actually needs, and governed model access enforces which provider may receive it. Nothing is used to train third-party models.

Is governed model access a gateway or proxy product?

No. It is one part of the Agentic Operations Center, alongside memory, context engineering, and earned write access. It exists so that every agent touching production, whether NeuBird built it or you did, inherits the same model policy and audit trail instead of each agent carrying its own keys.

How do agents we build use it?

Agents built on the NeuBird SDK or connected through the MCP server make model calls through the center. They never hold provider credentials directly. Policy, routing, and audit are applied the same way they are for NeuBird’s own investigations.

What does the audit trail record?

Every model call is logged with the agent that made it, the task it was serving, the model and provider used, the policy applied, token usage, and cost. The record is exportable to your SIEM or data warehouse.

See the policy in action

One review. Every agent covered.

Book a demo and bring your security team. We will show how policy, routing, and audit apply to every model call in the center.