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AI-Built App Audit
Find out whether your AI-built app is safe to launch, with a ranked fix list and a fixed quote to harden it.
AI building tools can get an app to a working demo fast. What they rarely show is whether logins, access rules, secrets and payments are safe for real users. AI-Built App Audit answers that. A senior engineer reads your code and settings, checks about 60 security items, and scores code quality and production readiness. You get a ranked fix list and a fixed quote to harden it.
- A senior engineer reads every finding, not just a scanner
- About 60 security checks across logins, data access and payments
- Ranked fix list with effort estimates and a fixed hardening quote
$1,925
5–15 working days
What it is
AI-Built App Audit is a human review of one web app built with tools such as Lovable, Bolt, Replit or Cursor. A senior engineer checks one repository of up to 50,000 lines, your hosting and database settings, and about 60 security items. You get scores, a ranked fix list and a fixed hardening quote.
Why businesses buy it
Apps built with AI tools often work well in a demo and still hide serious gaps. Common ones are open database rules, keys left in the code, missing checks on who can see what, and payment webhooks anyone can call. These are hard to spot if you did not write the code line by line. This audit puts an experienced engineer on your repository before launch, fundraising or a first enterprise customer. Automated scans help, but a person reads and ranks every finding. You learn what matters, what it takes to fix, and the fixed price if you want us to do it.
Problems this solves
Your app works in a demo but its security is unknown
A senior engineer reviews your repository and hosting settings across about 60 security checks. You see exactly where logins, access rules, secrets and payments are weak.
Database rules may let users see each other's data
The hosting and database configuration review checks access rules, for example in Supabase or Firebase. Each gap is ranked by risk in the fix list, with an effort estimate.
You cannot tell which problems to fix first
Every automated finding is read and ranked by a person. The ranked fix list puts the serious risks at the top, with the effort each one needs.
Investors or customers ask whether the app is production-ready
Code quality and production-readiness scores give you a clear picture you can share. The fixed hardening quote shows what it would take to close the gaps.
A good fit if
Your web app was built mostly with Lovable, Bolt, Replit, Cursor or a similar AI tool.
You are about to launch, raise money or sign a first enterprise customer, and want to know the risks first.
The app handles logins, customer data or payments, often through Supabase, Firebase or Stripe.
The code sits in one repository of up to 50,000 lines on GitHub, GitLab, Bitbucket or a Lovable export.
Not the right fit if
You want an AI agent that reviews every pull request from now on. See AI Code Review Agent.
You need a review of AI-specific risks, such as prompt injection in an AI product. See AI Security Audit.
You want automated tests written for the app. See AI Test Generation.
You need penetration testing of a live system or a compliance certificate. Those sit outside this audit, so ask for a Change Quote.
How it works
- You grant read-only access to the repository and viewer access to hosting and database settings, and describe your users and data.
- Automated scanners run across the code and dependencies, and a senior engineer reads the repository and configuration by hand.
- We work through about 60 checks covering logins, access rules, secrets, payments, inputs, logging, backups and deployment settings.
- Every finding is confirmed or dismissed by a person, then ranked by risk with an effort estimate.
- You receive the scores and ranked fix list with a written walkthrough of the findings, plus a fixed hardening quote.
- For 14 days afterwards you can send follow-up questions about any finding.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Read-only access to your repository on GitHub, GitLab or Bitbucket, or a Lovable export, by invite or a key you control.
- Viewer access to your hosting and database settings, such as Vercel, Netlify, Supabase or Firebase.
- A short description of who uses the app and what data it handles.
- Access granted within three working days of your order.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Order placed. Repository and hosting access and your app description are due within 72 hours.
Week 1
Access checked, scanners run and the repository mapped.
Week 1
Code and settings read by hand across about 60 security checks.
Week 1
Findings confirmed, scored and ranked with effort estimates.
Go-live
Report, fix list, written walkthrough and hardening quote delivered.
After delivery
14 days of follow-up questions about the findings.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 5–15 working days | $1,925 |
What you receive at handover
- A review of one repository up to 50,000 lines, plus hosting and database settings (recommendations; fixes are not included)
- Results from about 60 security checks
- Code quality and production-readiness scores
- A ranked fix list with an effort estimate per item
- A written walkthrough of the findings and a fixed-price hardening quote
- 14 days of follow-up questions
Expected benefits and how to measure them
- Helps you launch knowing where the real risks are
- Can make investor or customer security questions easier to answer
- Gives your developer a clear order of work
- Open high-risk findings
- Count high-risk items on the fix list at delivery, then recount as each one is fixed.
- Fix list progress
- Track how many ranked items are closed each week against the total in the report.
- Production-readiness score
- Compare the score in the report with a later review once the fixes are made.
Before you start: Note any known issues, past incidents and current user numbers before the audit. Record which security checks, if any, you already run.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
There are no running costs. The audit is one-time work and uses read-only access, so nothing is installed in your app or accounts. If you go ahead with the hardening work, its price is fixed in the quote before you decide.
Ask about running costsCustom requirements
Add a note at checkout if you need something specific. If it fits within the Scope Card it is simply included. If it goes beyond it, you get a written Change Quote within two working days, and that work starts only once you accept it, with its time added to your delivery date.
Request a custom versionKeep it running
This is a one-time audit, so there is nothing to keep running. The report, fix list and written walkthrough are yours. You can fix the issues yourself, hand them to your developer, or accept our fixed-price hardening quote. To keep checking new code after that, the AI Code Review Agent reviews each pull request.
How this compares
| Do it yourself | Hire a traditional agency | Upmark Labs | |
|---|---|---|---|
| Cost | Free scanners, plus your own time reading the warnings | A security firm quotes after scoping, often for a full penetration test | One fixed price shown before you buy |
| Who reads the code | Automated tools only | Depends on who is assigned | A senior engineer reads and ranks every finding |
| Coverage | Whatever the scanner checks | Agreed in the statement of work | About 60 checks across logins, data access, secrets, payments and deployment |
| Next step | A long list of warnings in no order | A separate proposal for fixes | A ranked fix list with effort per item and a fixed hardening quote |
| Access | You share whatever seems needed | Varies by firm | Read-only access, with no production or customer data read |
Questions about this product
Will the AI-Built App Audit fix the problems it finds?
No. The audit is advisory, and fixes are not included. You get a ranked fix list with an effort estimate for each item, so your developer can work through it. If you would rather we do it, the report comes with a fixed-price quote for the hardening work. You decide after reading the walkthrough, with no obligation.
Which AI app builders does the audit cover?
Most web apps built with tools such as Lovable, Bolt, Replit or Cursor. What matters is the code and its setup, not the tool that wrote it. We often see apps using Supabase or Firebase for data, Vercel or Netlify for hosting, and Stripe for payments. Mobile app store builds are outside this audit.
Do you look at our customers' data during the app audit?
No. We never read production or customer data. We use read-only access to your code and viewer access to hosting and database settings. That is enough to check access rules, keys and configuration without touching any records. You can remove our access as soon as the report is delivered.
Is the AI-Built App Audit the same as a penetration test?
No. A penetration test attacks a live system to see what breaks. This audit reads your code and settings to find weaknesses before anyone tries. For many early apps, that finds the most urgent issues at a lower cost. If an investor or customer requires a formal penetration test, that sits outside this audit.
What if our repository is bigger than 50,000 lines?
Larger codebases are quoted through a Change Quote. Add a 'Custom requirements' note at checkout with the size and number of repositories, and we reply with a written quote. The same applies if you want a second repository or a second app reviewed alongside the first one.
Can you re-check the app after we fix the issues ourselves?
Yes, as separate work. A re-audit after you make your own fixes is not part of this audit, so it is quoted through a Change Quote. During the 14 days of follow-up you can still ask questions about specific fixes, such as whether a change to an access rule closes the gap we found.
What happens after the AI-Built App Audit report is delivered?
You keep the report, scores, fix list and written walkthrough, and you get 14 days of follow-up questions. You can share the report with investors, customers or your developer. You then choose to fix the issues yourself, hire anyone you like, or accept our fixed hardening quote.
Know what your app needs before launch
Order the AI-Built App Audit for a senior engineer's review of your code and settings, a ranked fix list and a fixed price to harden it.
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