Topic starter
25/10/2026 11:09 am
TL;DR: AI gateway selection now depends on whether organisations need request routing or true agent governance, according to MintMCP. Agents need principal identity, scoped tool access and revocation across the full execution path, not just proxy traffic.
Editorial analysis by NHI Mgmt Group, based on content published by MintMCP: “Comparing Enterprise AI Gateway Options (and How Mintive, Kong, Portkey, LiteLLM and TrueFoundry Stack Up) (2026)”.
Key questions
Q: Why do AI agents need more than standard API gateway controls?
A: API gateways govern request traffic, but agents also need principal-level identity, scoped tool authority, and lifecycle controls.
Q: Where do AI gateway programmes fail in practice?
A: They fail when tool access is easier to grant than to revoke, when connector sprawl outruns ownership, and when off-gateway activity is invisible.
Q: What should teams evaluate before adopting a unified AI gateway?
A: Teams should evaluate where identity authority, policy enforcement, and audit logging actually sit, and whether those functions are preserved outside the application layer.
Practitioner guidance
- Map agent governance requirements before selecting a gateway Separate requirements for API routing, MCP governance, per-agent identity, and off-gateway monitoring before comparing platforms.
- Inventory every agent principal and connector Create a register of agents, MCP servers, hosted connectors, and delegated credentials so each access path can be owned, reviewed, and retired on a defined schedule.
- Require independent revocation for each agent Design the identity model so compromise or decommissioning of one agent does not affect other agents or human accounts, and so credential revocation is immediate and isolated.
Bottom line: AI gateway selection now depends on whether the organisation needs request routing or true agent governance.
Glossary terms: AI Gateway, MCP Gateway, First-Class Agent Identity, Virtual MCP
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This topic was modified 7 days ago by NHI Mgmt Group
27/10/2026 7:18 pm
AI gateway strategy is now an identity architecture decision, not a routing decision. Enterprises that treat AI gateways as traffic brokers will under-invest in principal governance, lifecycle control, and off-gateway visibility. The more the organisation relies on Claude Code, Cursor, ChatGPT, or Copilot workflows, the more the control plane must follow the identity of the agent, not just the path of the request. The practitioner implication is to evaluate whether the gateway governs requests or actually governs principals.
A few things that frame the scale:
- 40 percent of financial and software companies have already deployed agentic AI systems, and deployments are expected to double by 2028.
A question worth separating out:
Q: How should teams decide between API governance and MCP governance for agents?
A: Use API governance for the backend service boundary and MCP governance for the agent-facing tool boundary. The two overlap, but they solve different problems: one secures the service surface, the other constrains how agents discover and consume that surface.
👉 Read our full editorial: Enterprise AI gateways split between API control and agent governance
This post was modified 7 days ago by NHI Mgmt Group