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Systems / AI Security Audit
NEW ON THE PLATFORMcalm · money
AI Security Audit
Your AI tools, checked in documents, not adjectives.
- What it is
- A fixed-price checklist audit of your AI tools: exposed keys, access control, dependencies — with a report you can hand any stakeholder.
- Typically gives back
- Sleep, and a document instead of a worry
- Replaces
- “We hope nobody finds the API key.”
What it costs you without this
Calm arithmetic, not fear. Methodology.
Industry scan of 2,096 vibe-built apps: ~75% shipped with security holes (CMU-aligned research, 2026).
Illustrative example
One leaked key in client code can mean a bill, a breach notice and a reputation hit.
Illustrative example
Without a report, every stakeholder conversation about AI risk starts from zero.
Illustrative example
| Week | Month | At €40/h |
|---|---|---|
| 2 h | 8 h | €320/mo |
Fixed price €1,500–€3,000 — valued against one avoided incident
Fixed price €1,500–€3,000. Research on 2,096 generated apps found ~75% with security holes (industry scan, 2026) — one avoided incident pays for the audit many times over. Your scope sets the exact number.
A firm like this
Studio Noorderlicht
6-person agency that shipped a customer chatbot and two internal automations
Without the system
- An API key sits in a client-side bundle.
- Nobody knows which dependencies ship in the chatbot.
- A stakeholder asks “is this safe?” and the answer is a shrug.
With the system
- Secrets scanned (Gitleaks), findings fixed or accepted in writing.
- Server-side auth and row-level security checked where data lives.
- A fixed-price report with a remediation plan — hand it to any stakeholder.
| Metric | Before | After |
|---|---|---|
| Exposed secrets | Unknown | Listed and fixed |
| Answer to “is it safe?” | A shrug | A document |
| Price | Open-ended fear | €1,500–€3,000 fixed |
Illustrative composite example — not a real client
What is in the system
Only what we can point to. Missing pieces stay off this page.
Secrets scan
Gitleaks over history and code — keys, tokens, passwords.
You see: A list, not a rumour.
Access control review
Server-side authentication and row-level security where your data lives.
You see: Who can see what — in writing.
Dependency audit
CVE checks on what your AI tools actually ship.
You see: Known holes named with fixes.
Remediation plan
Each finding ranked by risk with a concrete fix order.
You see: A plan your next developer can execute.
Stakeholder report
A document written for humans: what we checked, what we found, what we fixed.
You see: The answer to “is this safe?” you can forward.
How it works
- 1. Scope the audit: repos, tools, data flows.
- 2. Run secrets, access-control and dependency checks.
- 3. Rank findings and agree the remediation order.
- 4. Deliver the report — yours either way.
In the build
- Secrets scan with history check (Gitleaks)
- Server-side auth + row-level security review
- Dependency (CVE) audit of shipped tooling
- Remediation plan ranked by risk
- Stakeholder-ready report, fixed price
- Honest scope: not a penetration test or certification
Good to know
No. It is a fixed-price checklist audit with a report you can hand any stakeholder. If you need a certified pentest, we will say so and point you to one.
This audit is built exactly for that: chatbots, automations and vibe-built apps already in the wild.
Then the report says so, and you keep a document that proves you checked. That is a successful audit.
Works well with
Start with the scan
90 minutes. Written report is yours. Then a fixed price — or a clear no.