AI-generated code is neither secure nor dangerous by nature; its security depends on the platform that builds it, how clearly you state requirements, and the review before launch. The most common flaws are broken access control that lets one user see another's data, secret keys exposed in the frontend, missing server-side input checks, and no limits on repeated requests. You can catch most of them with simple two-account tests, then get a specialist review if you handle sensitive data.
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- is vibe coding safe
- security risks of ai coding
- how to check if my app is secure before launch
- common vulnerabilities in ai generated code
Is AI-generated code secure? The honest answer
The honest answer: AI-generated code can be as secure as an average developer's code or better, and it can also be full of holes. The difference does not come from a machine writing it. It comes from three things: does the platform build on a secure foundation by default, did you describe security requirements clearly, and did you test the app before opening it to the public?
The real problem with AI building is not that it writes bad code. It is that it writes code that works, astonishingly fast. The app opens, the order saves, the test payment succeeds. That feeling of completeness tempts owners to launch right away without asking: what if someone tries to view other people's orders? What if they send an edited price to the server?
This article covers where generated code usually goes wrong and why, what the platform handles versus what stays with you, practical tests you can run without coding skills, and a ready security-review prompt. For the full item-by-item list, see the security checklist for AI-built apps.
Works and secure are two different questions, and AI only answers the first one automatically.
Where generated code usually goes wrong
These patterns repeat in quickly built apps, whether an AI or a rushed developer wrote them. The difference is that AI repeats them confidently unless protection is requested:
| Flaw | What it looks like in practice | How to spot it |
|---|---|---|
| Broken access control | Change the order number in the URL and you see another customer's order, address and phone | The two-account test and changing IDs in URLs |
| Exposed secret keys | Payment gateway or SMS keys inside frontend or mobile app code | Search the exported code for words like secret and key |
| Trusting the browser | Price, discount or role (admin/customer) sent from the frontend and accepted as is | Edit the price in a request and see if it is accepted |
| Open database rules | Tables readable without signing in | Open data URLs while logged out |
| No rate limiting | OTP codes can be requested hundreds of times, or passwords guessed endlessly | Request the code several times in a row |
| Missing or outdated packages | The model suggests a package with an invented name, or a version with known flaws | Review and update the dependency list |
| Chatty error messages | An error page shows database details or server paths | Enter bad data on purpose and read the message |
Why do these flaws appear?
- The implicit goal is a working demo: ask for a my orders page and the model builds a page that shows orders. Checking that they are only yours is a detail it may skip unless you say so.
- Limited context: in long projects the model may forget a security rule set twenty edits ago and break it in a new feature. See why AI forgets in long projects.
- Hallucination: the model may suggest a package that does not exist, and attackers exploit this by publishing packages under those invented names.
- Rapid-fire fixes: every quick just fix this error request can remove the security check that was causing the error.
- Vague descriptions: I want a staff dashboard does not say what staff must not see.
The good news: every one of these causes can be controlled. Modern agents plan and test what they build, good platforms ship default guardrails, and you can make security part of every description you write.
What the platform handles, and what stays with you
- Hosting and server updates
- SSL certificates and HTTPS
- Daily backups and instant rollback
- Managed phone-number (OTP) sign-in
- Payment gateway links without storing card data in your app
- Keeping secret keys on the server
- Who sees what: the permission rules in your app logic
- What data you collect and why
- Reviewing every new feature before it ships
- Strong passwords and two-factor login on your accounts
- Who on your team has admin rights
- Your privacy policy and regulatory compliance
In Fanann, for example, in-region hosting, SSL, daily backups, instant rollback, phone sign-in and roles and permissions are part of the platform, and the agent tests every page it builds. But no platform knows on its own that your clinic receptionist must not see medical reports. That is a business decision and you need to write it down. Remember too that owning your code means you can hand it to an independent security reviewer whenever you like.
Tests you can run yourself before launch
You do not need to read code to run these. You need a browser, a phone and an hour:
- 1The two-account test
Create accounts A and B. Place an order as A, then sign in as B and open A's order link. You should get a refusal, not the order.
- 2The change-the-number test
In any URL with a number or ID, change it by one. If someone else's data appears, you have a flaw to fix immediately.
- 3The visitor test
Sign out and open admin and order pages directly. You should be redirected to sign-in.
- 4The role test
Sign in as a regular staff member and try the owner pages: reports, settings, users.
- 5The price test
Apply an expired coupon or enter a negative quantity. The server should refuse and calculate the final price itself.
- 6The code test
Request the OTP five times in a row. The app should enforce a wait between requests.
- 7The upload test
Try uploading a huge file or an odd format instead of an image. It should be politely rejected.
Make the agent review its own work
The best time to ask for security is in your first description; the second best is now. Ask the agent for a structured security review and have it show findings before changing anything, so you understand what changed.
Before launch, review the app as a security reviewer. Check that: (1) every page and data request verifies on the server that the user owns the data or has the right role, (2) no secret keys exist in frontend or mobile app code, (3) prices, discounts and roles are calculated on the server and never accepted from the browser, (4) OTP requests and login attempts are rate-limited, (5) file uploads accept only images up to a set size, (6) error messages show no technical details, (7) every package used exists and is up to date. Show results in a table: issue, severity, page, proposed fix. Do not change anything before I approve.
Try it in FanannWhen do you need a specialist security review?
Self-tests catch the common problems, but some cases need an expert:
- Health apps storing diagnoses, prescriptions or reports.
- Financial apps holding balances or transfers, or doing more than linking a licensed payment gateway.
- Systems for government bodies or their suppliers, where National Cybersecurity Authority controls may apply.
- Apps collecting children's data or identity data.
- Any app expecting a large user base from day one.
Key takeaways
- Generated code aims to work in the demo; security must be asked for explicitly and tested.
- The most common serious flaw: a user sees or edits someone else's data by changing a number in the URL.
- Secret keys belong on the server, never in the frontend or the mobile app.
- The platform covers part of security (hosting, SSL, backups); your app's logic is your responsibility.
- Health, financial and government data deserve a specialist security review before a wide launch.
Frequently asked questions
Is AI-generated code secure?
What are the biggest security risks of AI coding?
Do I need a developer to review my app before launch?
Is vibe coding safe for online payments?
How do I know if my secret keys are exposed?
Ask your AI assistant about this
Copy this prompt into the AI assistant you use, then add the details of your own case.
I am reading this guide: “Is AI-generated code secure? What to check before you launch” https://fanann.com/en/blog/is-ai-generated-code-secure/ My question: is ai generated code secure Use that page as a source and explain the answer step by step for my situation, tell me what to check before I start, and cite the page link.