7IT Solutions
HUMANAGENT

Your AI built it. I make it safe, yours, and connected.

Lovable, Replit, Bolt or your own prompts got you a working app. Before customers, payments or real data touch it, a senior engineer checks what is exposed, makes sure every account and key is in your name, and connects it to the systems the business runs on.

Tell me what you are building

It is right when.

  • An app your AI tool built is about to meet real customers or real data
  • Keys, tokens or a database sit somewhere you cannot see
  • You are not sure who owns the code, the hosting or the domain
  • It works on its own but has to talk to Shopify, QuickBooks, a CRM or payments
  • Every change the AI makes breaks something else
And when it is not

If the app is a prototype for your own use, with no customer data and no payments, keep iterating with the AI. The audit is for the moment it goes live.

Why it matters now.

  • 45%

    of code samples written by more than 100 AI models failed security tests and introduced an OWASP Top 10 flaw.

    Veracode, July 2025
  • 2,000+

    high-impact vulnerabilities and over 400 exposed secrets in a scan of 5,600 publicly deployed apps built with AI tools.

    Escape.tech via VentureBeat, 2026
  • 75%

    of professional developers say the top reason they still ask a person is when they do not trust the AI’s answer.

    Stack Overflow Developer Survey 2025

What the audit checks.

The method, in the order it runs. Nothing on this list needs your AI tool to change how it works.

Secrets and keys

  • No API key, database key or token shipped to the browser
  • Every exposed key rotated, with the old one revoked
  • Secrets live in the host’s environment, not in the repository

Who can see what

  • Database rules (Supabase row-level security, Firebase rules) checked table by table
  • Every page and API route checks who is asking, on the server
  • Admin screens behind a real role, not a hidden link

What you own

  • Repository, hosting, domain, database and AI keys in the company’s name
  • A second admin on every account, so one person leaving cannot lock you out
  • An export of your data you have actually opened

When it fails

  • Backups that run on their own, and one restore tested
  • Errors that alert a person instead of failing silently
  • Payment and webhook flows that survive retries and duplicates

Connected to the business

  • Which systems it must talk to, and the one source of truth for each record
  • What breaks if the AI tool or its pricing changes
  • Tests on the paths that move money or customer data, so the next AI change cannot break them unnoticed

How it works, in four steps.

  • ScanTen seconds, on this site

    Check the protections any visitor’s browser can see, then run the deeper scan on an app you prove is yours.

    Run the scan
  • AI-Build AuditFixed price · 48 hours

    A signed report within 48 hours: what is exposed, what you own, and the order to fix it in.

    Ask for the audit
  • FixFixed price and date

    The report’s list, fixed for a set price by a set date. If we miss the target, the next week is on me.

    Ask about the fix
  • GuardMonthly

    A weekly automated scan, dependency and model updates, a monthly senior review, and one named person who answers.

    Ask about Guard

AI-Build Audit

Fixed price, set before work starts

A signed report within 48 hours: what is exposed, what you own and what you do not, and the order to fix it in. Then a fixed price and date to fix it, or the list to do it yourselves.

Ask for the audit

Guard

Monthly, fixed

A weekly automated scan, dependency and model updates, and a monthly senior review of what the AI or your team changed. One named person answers when it breaks.

Ask about Guard

“The AI can write the code. Someone still has to answer for it.”

How a project runs.

  • Discovery

    We map the problem and the one outcome that matters most.

  • Fixed-scope first phase

    One outcome, one price, agreed up front.

  • Demos at every step

    You see working software, not status reports.

  • You own everything

    Your repository, your keys, your data.

  • Decide at each milestone

    Continue, pause or stop, and keep what you paid for.

Proof, not promises.

The audit method is the list above, published check by check, and the same standards run through the Field Kits. 7IT publishes its own work in the open: original research, and a live tool server AI assistants use.

Browse the Field Kits

Read before you decide.

In-depth guides, each with a working Field Kit.

Questions.

Which AI tools do you work with?

Whatever built it: Lovable, Replit, Bolt, v0, Base44, Cursor, Claude Code, or code pasted from a chat. The audit reads the result, not the tool.

Will you rewrite the whole thing?

Only what has to change. Most AI-built apps keep most of their code. The report separates what must be fixed before launch from what can wait.

Can we keep building with our AI after?

Yes. The point is to make that safe: tests on the critical paths and a review step, so the AI keeps moving fast without breaking what matters.

Do we need you after the audit?

No. You get the list and can fix it yourselves. Guard is there if you want one named person answering for it every month.

Launch Review

Your AI built it. Nobody checked it. I will.

A senior engineer goes through your live app and tells you what is leaking, what is broken and what to fix first, with the exact prompt that fixes it. Written report in 48 hours.

  • Fixed price
  • Database rules, keys, payments, email
  • Money back if nothing needs fixing
See the Launch Review
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