Topic starter
24/07/2026 4:10 pm
TL;DR: AI gateways control model traffic while MCP gateways control tool traffic, but neither governs the full agent session or the non-MCP actions that matter most for security, according to Noma Security. The gap is not terminology alone: runtime enforcement, session context, and identity-aware control still require a separate governance layer.
Editorial analysis by NHI Mgmt Group, based on content published by Noma Security: “AI Gateways vs. MCP Gateways: What Security Teams Need to Know”.
Key questions
Q: Where do API gateways and directories fail to govern AI agents in practice?
A: They fail at execution time.
Q: Why does session context matter more than per-request filtering for agents?
A: Because an action can only be judged properly when you know what happened earlier in the same session.
Q: What do teams get wrong about MCP security when they rely on basic gateways alone?
A: Teams often confuse routing with security.
Practitioner guidance
- Define the real control boundary Map which agent actions are actually routed through an AI gateway, an MCP gateway, or neither, then document the blind spots created by native commands, local transports, and vendor-managed platforms.
- Separate authentication from runtime authority Review whether your agent governance model only checks who logged in, or whether it also resolves effective permissions when the maker of an agent differs from the current user.
- Instrument the session, not just the request Require telemetry that correlates prompts, tool calls, model responses, and downstream actions so policy can evaluate an agent’s behaviour across the full interaction.
Bottom line: AI gateways and MCP gateways each govern part of the agent stack, but neither provides complete runtime control across all agent actions.
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24/07/2026 4:13 pm
Gateway control is only transport control: AI gateways and MCP gateways divide the agent path into model traffic and tool traffic, but that partition does not equal complete governance. The article shows that native commands, direct API calls, and vendor-managed agent platforms sit outside the proxy boundary. That means the industry is still solving slices of the problem, not the whole agent security model. Practitioners should stop treating gateway coverage as synonymous with runtime control.
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 organisations govern identity when agent creators and users are different?
A: They should treat the creator’s credentials, the current user, and the agent’s effective permissions as separate governance questions. If a shared agent runs under the maker’s identity, access checks that only confirm login state will miss who really has authority at runtime. Identity governance has to follow the effective permission chain, not just the person who built the agent.
👉 Read our full editorial: AI gateways vs MCP gateways: where each control layer fits