Because the gateway often holds model API keys, workload secrets, and routing authority for downstream services. If an attacker controls the gateway process, they can inherit the non-human identities that the proxy uses to talk to model providers and connected systems. The identity impact is broader than the original CVE because one proxy may concentrate many privileges.
Why This Matters for Security Teams
AI gateways are not just traffic routers. In many deployments they become the control point that stores model API keys, brokers access to tools, and decides which downstream service a request reaches. That makes a gateway vulnerability an identity problem as much as an application problem, because compromise can expose the non-human identities that the gateway uses on behalf of workloads. NHI Management Group has repeatedly highlighted how concentrated secrets and excessive privilege turn a single failure into broad blast radius, especially in environments that already struggle with visibility and rotation, as shown in the Ultimate Guide to NHIs and the 52 NHI Breaches Analysis.
The practical risk is that a gateway compromise rarely stays inside the gateway. Attackers can reuse embedded secrets, pivot into model providers, and call connected systems with the proxy’s authority. That pattern aligns with the broader identity lessons in NIST Cybersecurity Framework 2.0, where asset visibility and access control must account for the full trust path, not just the first service touched. In practice, many security teams encounter the identity impact only after the gateway has already been used to reach several downstream systems, rather than through intentional design review.
How It Works in Practice
An AI gateway often performs three identity-sensitive functions at once: it authenticates the application, stores or retrieves secrets for model and tool access, and enforces routing logic. If the gateway process is compromised, an attacker may be able to extract long-lived credentials, impersonate the gateway to a model provider, or issue requests to internal tools with broader privileges than the original caller should ever have had. That is why gateway security and NHI security cannot be separated.
Current guidance suggests treating the gateway as a privileged workload identity rather than a neutral middleware layer. Use short-lived credentials where possible, isolate secrets from application memory, and issue per-task tokens instead of static keys. For agentic or tool-using systems, the more defensible pattern is workload identity plus runtime authorization, not a fixed allowlist baked into deployment time. NHI Management Group’s research on Top 10 NHI Issues reinforces why rotation, offboarding, and visibility matter when one control plane concentrates access.
- Keep gateway secrets separate from code, config, and CI/CD variables.
- Use short TTL credentials for model APIs and downstream tool calls.
- Bind gateway workloads to cryptographic identity, not just IP or container location.
- Evaluate authorization at request time using context, scope, and destination.
- Log which non-human identity was used for each downstream action.
For implementation, teams often map this to zero trust and workload identity patterns, using the NIST Cybersecurity Framework 2.0 for governance and the DeepSeek breach as a reminder that exposed secrets and backend credentials can turn a platform incident into an identity incident. These controls tend to break down when the gateway is allowed to cache long-lived tokens for many tenants because compromise then exposes multiple identities at once.
Common Variations and Edge Cases
Tighter gateway controls often increase operational overhead, requiring organisations to balance lower blast radius against latency, token churn, and debugging complexity. That tradeoff is real, especially in multi-model environments where one gateway fronts external APIs, internal services, and agent tools at the same time.
There is no universal standard for this yet, but current guidance suggests a few recurring exceptions. Shared gateways for development and production are especially risky because a single misconfiguration can expose both test and live credentials. Multi-tenant gateways also need stronger isolation than single-purpose proxies, because one tenant’s traffic can inherit another tenant’s identity context if token handling is sloppy. In agentic systems, the problem gets harder because autonomous behaviour can chain calls in ways that were not anticipated during design review, which is why the OWASP NHI Top 10 is especially relevant to gateway-mediated workloads.
Teams should also treat upstream model-provider trust as a separate question from internal authorization. A gateway may validate a request correctly and still leak value if it can be coerced into forwarding privileged context to a downstream system. Best practice is evolving toward least privilege per route, per task, and per tenant, with explicit revocation when the request completes. In practice, most failures appear when one gateway is made responsible for routing, secrets, and policy enforcement all at once, because that is when a single CVE becomes an identity concentration event.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10, OWASP Agentic AI Top 10 and CSA MAESTRO define the specific risk controls and attack patterns relevant to this topic.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-03 | Gateway secret concentration and poor rotation directly amplify NHI compromise risk. |
| OWASP Agentic AI Top 10 | A2 | AI gateways enable tool and model access paths that attackers can abuse. |
| CSA MAESTRO | ID-1 | MAESTRO covers identity and trust controls for agentic and gateway-mediated workflows. |
Inventory gateway-held secrets and enforce short-lived rotation with rapid revocation on completion.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on July 5, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
