OpenLuxAI API gateway security: what to check before you send data
A safe AI API gateway gives you evidence for the full data path: who receives prompts, what is retained, how keys are scoped, where retries go and how you detect a model or provider change. Treat a vendor’s uptime badge as one input, not a security review.
Reviewed by OpenLux Engineering Team · Last verified
What can go wrong in the gateway path?
Map each risk to a control and a piece of evidence. A policy statement without a test or owner is not a control.
| Risk | Question to ask | Control to verify |
|---|---|---|
| Prompt retention | Are prompts and responses stored, backed up or reviewed by support? | Written retention schedule, deletion process and log-field inventory |
| Key exposure | Can one leaked key spend the whole account or access every model? | Scoped keys, spend limits, rotation, revocation and separate environments |
| Upstream account risk | How is the provider account funded and what happens if an upstream account is suspended? | Documented provider mix, failover policy, incident procedure and financial continuity evidence |
| Model substitution | Could a request labelled one model be served by a cheaper or different model? | Model identity tests, provider transparency, routing logs and contractual restrictions |
| Retry amplification | Can automatic retries duplicate cost, side effects or sensitive calls? | Retry policy, idempotency, timeout handling and spend anomaly alerts |
| Compliance boundary | Does using the gateway change your obligations or approved subprocessors? | DPA, subprocessor list, region assessment and legal review for the workload |
How we evaluated this
This page separates technical controls from contractual assurances. It is based on the data-flow questions that apply to hosted gateways in general and on the public OpenLux policies available on 20 October 2026. It is not a penetration test, certification or legal opinion.
OpenLux states that request and response bodies are not retained by default, traffic is encrypted in transit and enterprise audit support is available. Confirm the exact scope of those statements in the current policies and your contract before using a sensitive workload.
AI gateway security checklist
Complete this before sending customer, confidential or regulated data through any gateway.
- Draw the full request path from client to gateway to upstream model, including retries and support access.
- Confirm which prompt, response, metadata and error fields are retained, where and for how long.
- Create separate keys per application and environment with the narrowest model and spend scope available.
- Store keys in a managed secret store and test rotation and emergency revocation.
- Verify the model identity and provider response on a sample workload.
- Define retry, timeout, fallback and maximum-spend behavior for every production client.
- Review the DPA, subprocessors, data location, deletion process and incident-notification terms.
- Run a security review against an error path, a rate-limit path and a provider-failure path.
What is the data path through an AI API gateway?
A request normally moves from your application to the gateway, from the gateway to an upstream model provider and back through the gateway. The gateway may create authentication records, usage metrics, request identifiers, timing data and error diagnostics. Each of those records is part of the security surface.
Ask for the path per endpoint and per model, not one generic diagram. A streaming chat request, an image edit and an embedding batch can use different upstream services and different logging rules. Retries and fallbacks add further paths that the diagram must include.
Are prompts and responses retained?
“Not retained by default” should lead to follow-up questions: what is retained during a request, what is kept in aggregate, what appears in error logs and what a support engineer can access during an incident? The answer should distinguish request content from metadata and should cover backups and deletion.
OpenLux publishes a no-payload-retention-by-default position and states that business payloads are not used for model training. For a regulated or highly confidential workload, obtain the exact contractual language and verify whether any optional diagnostic feature changes that behavior.
How should API keys be scoped?
A single organization-wide key is convenient for a demo and dangerous for production. Use one key per application and environment, restrict it to the models it needs, set a spend limit where supported and rotate it on a schedule. Do not place a production key in browser code.
Test revocation before you need it. Identify who can create a key, who can disable it, where the old value is cached and how long a deployed client can continue using it. A key rotation that requires an emergency deploy is not an operational control.
What is upstream account risk?
A hosted gateway depends on provider accounts, routing infrastructure and commercial relationships that you may not see directly. If an upstream account is suspended or a provider changes access, the gateway may route elsewhere, degrade or fail. Ask how the provider mix is managed and what notice you receive.
This is not unique to API relay services. Every managed platform has dependencies. The security decision is whether the dependency is documented, monitored and covered by an incident process that your team can test.
How can you detect model substitution?
A model name in the request is not proof of which model answered. Build a small identity evaluation with stable prompts, characteristic outputs, tool-call behavior and latency distributions. Compare the gateway response with a known direct provider response where possible.
Model substitution can be accidental, commercial or caused by a routing fallback. Ask whether fallbacks are enabled, whether a response exposes the upstream provider and what contractual restriction prevents a cheaper model from being substituted without notice.
How do retries affect cost and security?
Automatic retries are useful for transient failures but can amplify cost and duplicate side effects. A retry should be bounded, use backoff and only apply to safe requests. A tool call that creates a ticket or sends an email should not be replayed blindly because the first response timed out.
Set a maximum spend and an anomaly alert for every application. Review whether retries, failed generations and evaluation traffic appear in the console, and reconcile sudden changes with the application’s request logs.
What should the contract say about security?
The contract should define the data-processing terms, subprocessors, retention, deletion, notification, audit support and liability. It should also identify the service entity and the support escalation path. A security page on a website is helpful, but it is not a substitute for the signed agreement.
Match the contract to the data classification. A public marketing workload may need only a basic review; customer support transcripts, source code or regulated records require a stronger assessment and potentially a different deployment model.
How do you test a gateway before trusting it?
Run a controlled test with non-sensitive but representative data. Check success, streaming, tool calling, invalid keys, insufficient balance, rate limits, timeouts, provider failure and deletion behavior. Save the evidence in the vendor review file.
Repeat the test when the model catalogue, routing policy or contract changes. A gateway is a living dependency; one onboarding review does not cover every future model or provider addition.
Where does OpenLux fit in a security review?
OpenLux provides a hosted OpenAI-compatible endpoint with scoped keys, console request logs, encrypted transport and published policies. The practical review should confirm the exact retention behavior, model scope, billing controls and support access for your workload.
If your security model requires self-hosting, a dedicated network boundary or an identity provider integration that OpenLux does not document, that requirement should win. Security decisions should not be forced into a vendor-shaped compromise.
Key takeaways
- Security starts with a complete request and data-flow diagram, including retries and support access.
- Treat prompt retention, metadata logging and deletion as separate questions.
- Use scoped keys, spend limits, rotation and tested revocation for every production application.
- Test model identity, fallback behavior and retry cost rather than trusting a model label.
- Match the contract and data classification before sending sensitive workloads to any gateway.
Frequently asked questions
Is it safe to use an AI API gateway with confidential data?
It can be safe only after the data path, retention, access, subprocessors and contract are reviewed for that data classification. Some workloads require self-hosting or a provider with stronger contractual controls.
Does OpenLux store prompts and responses?
OpenLux states that request and response bodies are not retained by default and that business payloads are not used for model training. Confirm the current policy and any support or diagnostic exception for your workload.
How can I protect an OpenLux API key?
Store it server-side in a secret manager, scope it to the application and models, set spend limits where available, rotate it on a schedule and revoke it immediately after suspected exposure.
Can a gateway silently switch models?
A gateway may route or fall back between providers depending on its configuration. Ask about fallback policy and use identity tests and provider metadata where available to verify the behavior you expect.
What security evidence should I request?
Request the DPA, subprocessor list, retention schedule, access policy, incident process, availability and support terms, and a sample of the metadata visible in logs. Test the error and deletion paths in a pilot.
Is OpenLux a replacement for our own security review?
No. OpenLux can provide documented controls and evidence, but your organisation still owns the risk assessment, data classification, key governance and production acceptance decision.
Sources and official documentation
- OpenLux privacy policyPublic data collection and handling information.
- OpenLux acceptable use policyPublic restrictions and user responsibilities.
- OpenLux compliance policyPublic compliance and audit information.
- OpenLux data-processing addendumPublic DPA starting point for evaluation.
- OpenLux API docsAuthentication, error codes and endpoint behavior.
- PortkeyOfficial gateway governance and security information.
Keep reading
Enterprise procurement
Bring security evidence into the contract review.
中文中转站安全指南
The Chinese-language version of the gateway security framework.
AI API gateway guide
Compare gateway operating models.
Gateway pricing
Understand spend drivers and invoice controls.
OpenAI-compatible API
Test the integration contract before migrating.
Data-processing addendum
Read the current public DPA.
LLM API observability
Separate safe request metadata from prompt payload retention.
Review the gateway before the first sensitive request
Use the checklist with OpenLux support, then test retention, access, error handling and cost controls against your own workload.