The five workflows in this series
All five workflows of S3 · AI Security Testing, each in its own folder.
S3 · AI Security Testing · COMPLETE SERIES (L0-L4)
S3 · AI Security Testing: complete series (L0-L4)
You get the authorization written down, a named boundary, checks that leave evidence and findings with owners. At the higher levels the checks become repeatable: from L3 APPLY you can run your own inert checks from one command and from CI, and at L4 SCALE they become an owned operating model.
Best for: Security-minded QA engineers, developers and security leads who test LLM-enabled systems they are authorized to test.
$149 one-time · includes L0-L4 of S3 · AI Security Testing
L4 SCALE is $50 more than L3 and adds a security framework blueprint, a control library, an ownership matrix and an adoption plan; every level below it is included.
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.
What the top level, L4 SCALE, adds
- A security framework blueprint, a control library, an ownership matrix and an adoption plan, plus one HTML report.
- Templates for a governance charter, quarterly review checklist, exception register, evidence-freshness tracker and testing-authorization record.
- An ed-tech example run before and after a change, in English and Polish.
- CI and pre-commit examples, an 89-page field guide and 68 automated tests.
- The complete series: every earlier workflow of AI Security Testing is inside this level.
What the L4 SCALE workflow does
Map risk ownership, define control and test libraries, establish monitoring gates, and stage adoption with rollback.
Bring
- AI system portfolio
- risk and control taxonomy
- ownership and delivery constraints
Leave with
- security framework blueprint
- control library
- ownership matrix
- adoption plan
What is in the package
L4 SCALE is the complete S3 · AI Security Testing series. It contains L0, L1, L2 and L3 of the same series, each in its own folder.
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
- enterprise AI-security portfolio view
- versioned asset and dependency registry
- decision rights and policy contracts
- control ownership and monitoring
- incident response and adoption
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.
Where this fits
L4 SCALE is the top level of this series and includes every level below it.
You have the complete AI Security Testing series. The natural next series is AI Engineering & Orchestration, which limits what your AI agents may touch in the first place.
See all five levels of S3 · AI Security Testing · Compare all five series · See S4 · AI Engineering & Orchestration