They should separate model-path testing from MCP-path testing, define latency and throughput targets for both, and confirm the gateway can enforce policy without forcing shadow bypasses. If the control plane cannot meet those targets, the design needs rework before agents scale further.
Why This Matters for Security Teams
When the gateway becomes the choke point for model and tool access, it is no longer just a routing layer. It becomes the enforcement point for identity, policy, throughput, and auditability. That matters because the gateway can either preserve a clean control plane or become the place where teams quietly introduce bypasses, duplicate paths, and inconsistent policy checks. NHIMG research shows that 90% of IT leaders say properly managing NHIs is essential for a successful zero-trust implementation, which is exactly why gateway design cannot be treated as a performance afterthought.
The operational risk is not only latency. A slow or brittle gateway encourages shadow paths around the control plane, especially when agents need model calls and tool execution to remain responsive. Once that happens, policy becomes uneven and visibility drops. Guidance from the OWASP Non-Human Identity Top 10 and the Ultimate Guide to NHIs both point to the same practical issue: if the control point cannot scale, teams will route around it instead of through it. In practice, many security teams discover gateway choke points only after agent usage has already forced informal bypasses.
How It Works in Practice
The fix is to test the gateway as two related but distinct systems: the model path and the MCP or tool path. Model-path testing should measure prompt routing, token handling, and policy checks that occur before inference. MCP-path testing should measure tool authorization, request validation, and downstream dependency handling. These paths may share infrastructure, but they do not share the same failure profile, so one latency number is not enough.
Teams should set explicit targets for both latency and throughput, then validate them under realistic concurrency. That includes bursts from multiple agents, retries, and chained tool calls. The control plane should be able to enforce policy without becoming a bottleneck that tempts application teams to cache credentials, expose direct tool endpoints, or hardcode alternate routes. A useful design pattern is to treat gateway policy as a runtime decision layer rather than a static allowlist, then map the enforcement logic to documented controls such as NIST SP 800-53 Rev 5 Security and Privacy Controls.
For NHI-heavy environments, the gateway also needs to handle secret use carefully. Short-lived tokens, scoped access, and per-task authorization reduce the incentive to reuse broad credentials across model and tool calls. NHIMG reports that 97% of NHIs carry excessive privileges, which is why gateway design should assume privilege creep unless it is actively constrained. The same applies to audit logs: they must show which agent, which tool, which policy, and which decision allowed the request. That evidence is essential when model access and tool access are both flowing through the same choke point.
These controls tend to break down when teams collapse model traffic, tool traffic, and human admin traffic into one shared gateway with no separate service objectives.
Common Variations and Edge Cases
Tighter gateway enforcement often increases operational overhead, so teams must balance stronger control against developer friction and runtime cost. That tradeoff is real, but current guidance suggests the answer is not to weaken the gateway. It is to segment the policy paths, tune them separately, and decide where low-risk calls can take a lighter route without bypassing identity checks entirely.
One common edge case is multi-tenant agent platforms. A shared gateway may work for early pilots, but it becomes fragile when tenants have different policy requirements, different tool catalogs, or different latency tolerances. Another edge case is hybrid deployments where some tools sit behind internal APIs and others behind external SaaS endpoints. In those environments, gateway choke points often expose inconsistent retry logic or uneven auth enforcement. The Ultimate Guide to NHIs — Key Challenges and Risks is a useful reference when teams need to pressure-test whether their control design is actually reducing exposure or just moving it.
There is no universal standard for gateway latency thresholds yet, so organisations should define them from workload evidence rather than vendor defaults. The practical rule is simple: if policy enforcement slows the system enough that teams start bypassing it, the gateway is not acting as a control plane anymore. It has become an obstacle, and the design needs revision before agent scale expands the problem.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Agentic AI Top 10, CSA MAESTRO and OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST AI RMF and NIST CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Agentic AI Top 10 | AI-5 | Gateway bottlenecks drive bypasses and inconsistent enforcement in agent tool access. |
| CSA MAESTRO | GOV-02 | Control-plane governance must stay enforceable as agent and tool traffic scales. |
| NIST AI RMF | Runtime risk management applies when gateway performance affects policy enforcement. | |
| OWASP Non-Human Identity Top 10 | NHI-03 | Gateway chokepoints often lead to long-lived tokens and privilege sprawl. |
| NIST CSF 2.0 | PR.AC-4 | Access enforcement must remain consistent even when the gateway is under load. |
Use scoped, short-lived credentials at the gateway and rotate access before teams bypass controls.
Related resources from NHI Mgmt Group
- How should security teams govern AI agents that use OAuth access?
- How should security teams limit the risk from AI agents that have access to production systems?
- How should security teams govern AI agents that can access enterprise systems?
- How should IT teams govern identity access when AI becomes part of the operating model?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 2, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org