AI-built websites and apps: security myths and practical habits
Security for AI-built sites and apps: myths, chat audits, Secrets, the scan before publish, and what to check once accounts exist.
July 19, 20266 min read
"AI is fine for prototyping, but it is not secure." You hear that often. The sentence is too broad to be true.
A brochure site does not have the same stakes as an app where people sign in and leave information. The right question is not "is AI safe?", it is: how do you harden what you put online.
Common myths
"Everything AI generates is dangerous."
No. AI can produce a sound base. It can also leave holes if nobody checks.
"If it is online, it is fine."
No. "Online" only means accessible.
"One scan button is enough for everything."
An automatic scan helps a lot, especially on common mistakes. It is not the only line of defense. Your dialogue with the AI, your tests (especially "who sees what"), and the scan before publish complement each other.
Important ideas (without useless jargon)
1. Who can see what?
As soon as there are accounts, each person should access only their info (or what you decided).
Classic flaw: a user opens someone else's space by changing a number in the URL.
What you want: clear access rules. "Me = my data. You = yours."
On Index10, if you use Index10 Cloud to store those accounts and data, the publish scan can also look at those access rules. That helps catch common mistakes — it does not replace a test with a second account.
2. Secrets stay secret
Service keys (payments, email, etc.), technical passwords: they must never end up in visible code or in chat.
On Index10, when your project needs those keys (often with Cloud enabled to connect services):
- Add them in Cloud → Secrets (the project's vault)
- Or ask the AI to open the secure form to enter a key, without pasting it in the message
Vault secrets are not exposed in published code. The vault helps you not misplace a key — it does not "secure" the whole app by itself.
3. Who can see what (the most common trap)
As soon as there are accounts, the real risk is often not a genius attacker: it is that client A can see client B’s folder, or that a “private” page opens while logged out.
Before sharing widely: sign in with a second test account, and check that you only see what concerns you.
4. Forms and messages
A poorly protected contact form can get spammed.
What you want: controlled submissions, and a clear idea of where the message goes.
5. Test like a stranger
Try to open a “private” page while logged out. Click everywhere.
Many problems show up when you behave like a clever user, not like the project's creator.
The most underestimated lever: have the AI audit it
On Index10, you can ask the AI to play the role of a very picky senior developer, and to fix what it finds.
Useful examples:
Do a full security audit of the project, like a senior developer. List weaknesses by severity, explain the risk simply, then propose and apply fixes one by one.
Verify that each user can only see their own data. Fix anything that would let someone access another person's data.
Look for the most common access flaws: can user A open / edit / list user B’s data by changing a link, an id, or a parameter? Are sensitive pages or actions (admin, settings, exports) usable while logged out, or by any account? Are private files, documents, or lists publicly visible? List by severity, explain simply, then fix one issue at a time — without rebuilding the whole account system.
Check permissions on roles and “team / admin” areas: can a client or standard member account perform reserved actions? Fix what you find, still without rewriting everything.
The key: iterate in depth. A single "secure my app" message is often too vague.
What Index10 does concretely
| Mechanism | Role |
|---|---|
| Index10 Cloud | Accounts, saved data, files — when the project needs them (Cloud docs). More surface to verify, not "more security automatically". |
| Cloud → Secrets | Vault to store service keys (not in chat or in code) |
| Security scan | Before publish: plain-text secrets, sensitive files; if Cloud is on, also data-access checks |
| Publish blocking | Some critical issues prevent publishing until they are fixed |
| AI audit | Conversation to find and fix in depth |
Details: security documentation.
The scan and the audit complement each other: one catches known patterns, the other explores your project with you.
Common mistakes (and what to do on Index10)
| Situation | Good reflex |
|---|---|
| Need accounts / data | Enable Index10 Cloud for that need, then test who sees what |
| Stripe / email / API key | Cloud → Secrets, or secure form opened by the AI |
| Key pasted in chat | Do not. If it already happened, rotate / revoke the key with the provider |
| "We will do security later" | AI audit + scan before sharing widely |
A simple routine before sharing widely
- If accounts / data: login flow tested with a second account
- Any keys in Cloud → Secrets
- Senior audit asked to the AI, fixes until the list is clean
- Publish: the Index10 scan runs; fix what blocks
- Soft launch (small circle), then expand
If your activity touches highly sensitive data (health, finance, etc.), an outside human look is still a good idea. For most projects, AI audit + access tests + scan already change the picture a lot.
In short
AI does not make a product "insecure by nature." It makes it fast.
On Index10, your concrete levers: AI audit, "who sees what" tests, Secrets for keys, then scan before publish. Cloud is for when you need accounts or data — and that is exactly when access checks deserve even more attention.
For the creation path: How to build a website or app with AI: step-by-step guide.