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S3 · AI Security Testing · L0 FREE

Initial LLM Boundary Review Workflow

Find the first security questions worth testing around an LLM, with written authorization and a named owner.

Best for: Engineers and QA practitioners starting an AI security review who want the scope and authority written down first.

Free includes L0 of S3 · AI Security Testing

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Deeper levels (L2 to L4) are in our store.

S3 · AI Security Testing L0 FREE: Initial LLM Boundary Review Workflow, product artwork

You walk away with

  • A boundary map that names what is in scope and who is responsible for it.
  • A list of authorized checks built from inert, sanitized test cases.
  • A finding-or-gap record for anything you observed, and the owner of the next action.
  • An HTML report from one command on the bundled synthetic example, with English and Polish guidebooks and a 14-page guide.
  • A blank input template with a field guide for your own scope. Left unfilled, it stops with a clear TEMPLATE_NOT_FILLED message and writes no report.
  • 29 automated tests, including positive, negative and recovery cases.

What the workflow does

Confirm review scope, map the boundary, design inert candidate cases, assess supplied records if present, and propose one separately authorized next check.

Bring

  • written authorization
  • system boundary
  • inert sanitized fixtures

Leave with

  • boundary map
  • authorized check list
  • finding or gap record
  • next owner action

What is in the package

Includes L0 FREE: Initial LLM Boundary Review Workflow (S3 · AI Security Testing).

You need: Node.js 22 and a terminal.

Each package is a working workflow with tested code, a runnable example, recovery steps and an HTML report, plus an English and Polish guidebook that explains the method. The workflow is the product; the guidebook supports it.

Prices are cumulative: each price covers that level and every level below it, so the catalog shows no sums or savings.

What the guidebook covers

  • prompt-injection case mapping
  • safety-policy bypass checks
  • canary-based exposure checks
  • output and tool boundaries
  • evidence mapping for review

The guidebook extends the workflow with the reasoning and adaptation guidance. It is not evidence that a result has already run in your environment.

Use it safely

Use sanitized inputs inside a declared boundary and review every proposed action. The workflow stops when evidence, authority or an owner decision is missing.

The included code runs on your machine, makes no model calls and needs no AI tool. If you want an assistant to help draft the input, the onboarding guide shows how; you review the result before anything is acted on.

Next level

L1 START, Authorized Prompt Injection Review, reviews the prompt-injection evidence you collect, with authorization and evidence limits written into the report.

See L1 START: Authorized Prompt Injection Review · Open it in our store · See all five levels

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