Topic starter
12/06/2026 12:11 am
TL;DR: Unified LLM gateways reduce routing complexity across multiple model providers, but the real control gap is identity-aware access management, logging, and policy enforcement, according to Pomerium's analysis. Gateway strategy now matters because model traffic can carry sensitive data and trigger downstream actions, so identity and authorization must move closer to the request path.
Editorial analysis by NHI Mgmt Group, based on content published by Pomerium: “Best LLM Gateways in 2025: Top Tools for Managing and Securing AI Models”.
Key questions
Q: How should security teams govern access to LLM gateways?
A: They should treat the gateway as the enforcement point for authentication, authorization, and audit logging.
Q: Why do LLM gateways create access control risk if they only handle routing?
A: Routing alone does not answer who may use a model, what data they may send, or what downstream action a response may trigger.
Q: What are the signs that LLM gateway controls are too weak?
A: Warning signs include shared keys across teams, missing per-request audit trails, inconsistent authorization between models, and no clear owner for policy decisions.
Practitioner guidance
- Define the gateway as an access control point Place authentication and authorization decisions at the same layer that routes model requests so identity context is not lost downstream.
- Scope credentials by user, service, or agent Issue credentials that limit which models, environments, and request types a subject can reach, then review those scopes as model use expands.
- Log identity and policy outcomes together Capture who made the request, which model was targeted, what policy decision was applied, and what metadata accompanied the call.
Bottom line: LLM gateways reduce integration sprawl, but they do not by themselves establish who is authorised to use a model or what that call may trigger.
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This topic was modified 1 day ago by NHI Mgmt Group
12/06/2026 9:17 am
Identity-aware control has become the real differentiator in LLM gateway design: routing abstraction solves portability, but it does not solve who is allowed to invoke which model under which context. Once model calls can carry sensitive content or trigger downstream work, authorization becomes a request-path control rather than an application afterthought. Practitioners should treat gateway placement as a governance decision, not only an architectural one.
A few things that frame the scale:
- AI-related credential leaks surged 81.5% year-over-year in 2025, with the surrounding AI infrastructure leaking 5x faster than core LLM providers, according to the State of Secrets Sprawl 2026.
- 13% of organisations suffered breaches of their AI models, according to IBM's Cost of a Data Breach 2025 report.
A question worth separating out:
Q: What is the difference between an LLM gateway and identity-aware access control?
A: An LLM gateway normalises how applications reach models, while identity-aware access control decides whether the request should be allowed at all. They solve different problems, and treating them as interchangeable leaves policy enforcement too close to the application layer.
👉 Read our full editorial: LLM gateways need identity-aware controls, not just routing logic
This post was modified 1 day ago by NHI Mgmt Group