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S3 · AI Security Testing · L3 APPLY

AI Security Test Implementation Workflow

Run your own authorized, inert AI security checks against one endpoint you name, keep hashed evidence, and fail the build when results are missing or stale.

Best for: Engineers who want authorized AI security checks to run from one command and from CI, with the contract, the authorization and the evidence rules settled first.

$99 one-time · includes L0-L3 of S3 · AI Security Testing

Get L3 APPLY for $99 · our storeSee the whole series

Paid purchases: 7-day money-back guarantee and at least six updates a year for five years, as set out in the terms.

What you paid for any lower level of the same series counts toward any higher level (L1 START at $19 makes L4 SCALE cost $130). To claim it, email hello@nobrainer.tech with your receipt (how the credit works).

Need copies for colleagues? Each person gets their own copy; email hello@nobrainer.tech.

S3 · AI Security Testing L3 APPLY: AI Security Test Implementation Workflow, product artwork

You walk away with

  • An authorized local check runner. It sends the inert, canary-based checks your contract defines to one endpoint you name, only inside a valid authorization window and boundary, and records hashed evidence in the results schema. It sends nothing when authorization is missing, expired or out of scope. It runs only the checks you wrote: it does not scan, attack or certify.
  • A bundled stub target with a hardened and a vulnerable mode, so you see a clean run and a failing run locally first, and a make and GitHub Actions chain that fails on missing or stale results.
  • A security check contract, an evidence schema, an integration plan, a run record and a gate decision as reviewable documents, with templates for an authorization record, check catalog, cleanup runbook, findings register and results policy.
  • A worked invoice-agent example in English and Polish, CI and pre-commit examples, a 113-page field guide and 80 automated tests. A clean run covers only the trials you ran against the build you name.

What the workflow does

Scope one security check, define paired cases and evidence, then propose or implement the approved test changes and review actual results. PLAN is the default; IMPLEMENT requires exact owner authority.

Bring

  • authorized threat and control scope
  • security test target
  • delivery and evidence constraints

Leave with

  • security check contract
  • evidence schema
  • integration proposal or authorized implementation diff
  • a record of the test run or a clear note that it was not run
  • gate decision

What is in the package

Includes L0-L3 of S3 · AI Security Testing: Initial LLM Boundary Review Workflow, Authorized Prompt Injection Review, LLM Security Review and AI Security Test Implementation Workflow.

You need: Node.js 22 and a terminal. The included L1 folder runs on Python 3.10 or newer.

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

  • evidence-first security-suite contracts
  • authorized red-team workflow
  • secret and personal-data detection
  • delivery-workflow integration
  • security regression and release evidence

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.

One exception: the authorized check runner in this package sends only the inert checks you wrote to the one endpoint you name, inside your written authorization window and boundary. By default that endpoint is a stub that ships in the package.

Next level

L4 SCALE, Enterprise AI Security Framework, makes AI security testing an owned operating model with a control library, monitoring and staged adoption.

See L4 SCALE: Enterprise AI Security Framework · Open it in our store · See all five levels

Polski