Can AI really write code that is secure enough for real users and real data?
You are collecting email addresses. Maybe payments. Maybe personal data. The question nobody asks before going live — is what AI built actually secure? Here is the honest answer.
What this means
This is the question most non-developers never think to ask.
The app works. It looks good. Real people are using it. Their data is going somewhere.
But is it secure?
What AI builds well from a security perspective:Standard authentication patterns — login, logout, password hashing — AI follows established secure patterns for these if you ask it to. HTTPS — modern deployment platforms like Netlify handle this automatically. Your site is encrypted by default. Basic input validation — stopping people from typing harmful things into your forms — AI includes this in most builds.
Where AI-built code has real security risks:API keys left in the wrong place — AI sometimes puts sensitive keys directly in frontend code where anyone can find them. SQL injection — if your app has a database and AI built the connection carelessly, malicious users can extract your entire database. Storing passwords incorrectly — AI should hash passwords automatically but it is worth verifying. Open endpoints — API routes that anyone can access without being logged in.
What to do
The four questions to ask before going live:
- "Are any API keys or secrets exposed in frontend code?" AI sometimes puts these in the wrong place.
- "How are passwords stored in my app? Are they hashed?" Should always be yes.
- "Check my database queries for SQL injection vulnerabilities." One command that catches common mistakes.
- "Are any of my API endpoints accessible without authentication that should require a login?" Open endpoints are the most common real-world security gap.
The one prompt that protects you:After any significant build, type this in Claude Code:
"Run a basic security audit of my project. Check for exposed API keys, unsecured endpoints, unvalidated user inputs, and any passwords stored incorrectly. Give me a plain English report of anything that needs fixing."
Run this before going live. Every time. It takes two minutes and it catches the things that could cost you users, trust, or legal problems.
Verdict
Partly real risk. AI builds reasonably secure code — but always run a security audit prompt before real users touch real data.
Try this prompt
Copy-paste prompt
Run a basic security audit of my project. Check for exposed API keys, unsecured endpoints, unvalidated user inputs, and any passwords stored incorrectly. Give me a plain English report of anything that needs fixing before real users touch real data.