AI gateways for agentic AI: are your controls keeping up?

TL;DR: Agentic AI workflows need a control point that can authenticate each agent, enforce tool policy, trace calls end to end and apply token budgets, according to NeuralTrust. Without that layer, identity, observability and cost controls fragment across chains of model, tool and agent requests, and the gateway becomes the place where governance either holds or fails.

Editorial analysis by NHI Mgmt Group, based on content published by NeuralTrust: “AI Gateway for Agentic AI: Secure Agents”.

By the numbers:

• According to Gartner, over 40% of agentic AI projects will be canceled by the end of 2027 because of cost, unclear value and weak risk controls.
• Anthropic measured multi-agent systems at about 15 times the tokens of a chat.

Key questions

Q: What breaks when credentials are reused across agentic AI workflows?

A: Reusable credentials break the assumption that access can be tied to one task, one context, or one owner.

Q: Why do agentic AI projects need a gateway rather than only API management?

A: Agentic workflows need enforcement across model calls, tool calls and inter-agent delegation, not just request routing.

Q: How do you know whether a managed AI gateway is actually reducing risk?

A: Measure whether access reviews, token scoping, logging, and certificate rotation are more consistent after the move.

Practitioner guidance

• Enforce a single policy choke point Route all model, tool, MCP and inter-agent traffic through one gateway so identity, policy and logging cannot be bypassed by a side path.
• Assign one identity per agent Replace shared API keys with scoped credentials per agent and bind every call to the task and user context behind it.
• Set budgets at three levels Cap tokens and calls per request, per run and per agent per day so a looping workflow is cut off before it spreads.

Bottom line: Agentic AI creates a governance problem where identity, policy and spend must be enforced across the full workflow, not just at the first request.

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