AI-Policy-Safe API Testing: Self-Hosted LLM Evaluation Kit
Data flows, model hosting options (Ollama, vLLM, LM Studio) and an approval checklist for security and AI governance teams
What's inside:
For: Security architects, AI governance, QA leaders
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Preview: AI-Policy-Safe API Testing: Self-Hosted LLM Evaluation Kit
This page shows roughly the first 20% of the pack so you can judge it before you download. The full ZIP contains 3 files: ai-policy-approval-checklist.csv, ai-policy-safe-api-testing-guide.pdf, ai-policy-safe-api-testing-guide.md.
The problem this guide solves
AI test generation is useful because it reads what you know about your API: the specification, example payloads, earlier results. In many banks, insurers, healthcare organisations and public bodies, those are exactly the things the AI policy says may not go to a third-party model provider. The usual result is a stalemate: the testing team wants the productivity, the security team cannot approve the data flow.
Running the model yourself changes the question from "may this data leave?" to "is this internal system configured and operated safely?". That is a question security and AI governance teams already know how to answer. This guide lists what to check so the answer can be yes.
Map the data flows first
Before discussing models, draw what moves where. For an AI-assisted API testing tool there are usually five flows:
- Specification to model: the OpenAPI, WSDL or GraphQL description, or parts of it, sent as prompt context for generation.
- Payloads to model: example requests and captured responses, used to generate data or explain a failure. This is where personal and card data appear.
- Results to model: run logs and error messages sent for failure analysis or test repair.
- Embeddings: text converted to vectors for search or retrieval. Often a separate provider from the chat model, and easy to miss.
- Telemetry and licensing: product usage data and licence checks sent to the vendor, unrelated to AI but outbound all the same.
For each flow, record the data class, the destination and whether it can be switched off. The checklist in this pack follows the same order.
AI-policy approval checklist
ai-policy-approval-checklist.csv · showing 6 of 26 rows. Controls for approving self-hosted LLM test generation, with evidence and owners.
AIP-01
List every AI feature in the testing tool and what each one does (generate tests, repair tests, explain failures, chat assistant).
- Area
- Scope
- Why it matters
- Approval is per data flow, not per product.
- Evidence
- Vendor feature list
- Typical owner
- AI governance
AIP-02
Classify the inputs: API specifications, example payloads, captured request/response bodies, run logs, requirements documents.
- Area
- Scope
- Why it matters
- Specs can be confidential; captured payloads can contain personal or card data.
- Evidence
- Data classification record
- Typical owner
- Data owner
AIP-03
Decide which data classes may reach a model at all, and under which hosting option.
- Area
- Scope
- Why it matters
- Sets the rule the rest of the checklist verifies.
- Evidence
- Signed decision
- Typical owner
- AI governance
AIP-04
Obtain a written description of what is sent to the model for each AI feature.
- Area
- Data flow
- Why it matters
- You cannot approve a flow that is not described.
- Evidence
- Vendor data-flow document
- Typical owner
- Security architecture
AIP-05
Verify the description with a proxy or network capture during the pilot.
- Area
- Data flow
- Why it matters
- Documentation and behaviour can differ.
- Evidence
- Capture showing only the approved endpoint is called
- Typical owner
- Security engineering
AIP-06
Confirm that embeddings or vector-search features use the approved model too, not a separate cloud provider.
- Area
- Data flow
- Why it matters
- Embedding calls are a second, often forgotten, outbound flow.
- Evidence
- Configuration screenshot and capture
- Typical owner
- Security engineering
The rest of the pack
26 rows across the CSV file, and all 8 sections of the guide as PDF and Markdown. Enter your work email above and we will send the download link.
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