Security Basics (No Coding Required)
You built an app with AI. It works. But is it safe?
You don't need to know how to code to understand the security risks in your app. You just need to know what to look for and what questions to ask.
Think of this like car safety: you don't need to be a mechanic to know that seatbelts, airbags, and brakes are important. You just need to know they should be there — and how to check if they are.
The 7 Most Common Security Problems in AI-Built Apps
1. Weak Password Storage
The problem: When users create a password for your app, the app needs to store it somewhere. If it's stored in a way that's easy to read, anyone who breaks into your database can see every password — including ones your users reuse on other sites like their email or bank.
What to ask your developer or AI:
- "Are passwords being stored using a strong hashing algorithm like bcrypt or Argon2?"
- "Can you confirm that passwords are never stored in plain text?"
Red flag: If someone says "we encrypt passwords" — encryption is different from hashing. Hashing is what you want for passwords.
Why it matters: If your database is breached and passwords are readable, you're legally liable, your users are at risk, and your reputation is destroyed.
2. No Login Attempt Limits
The problem: Without limits, an attacker can try thousands of passwords per minute until they guess correctly. This is called a "brute force attack."
What to ask:
- "Is there rate limiting on the login page?"
- "How many failed login attempts are allowed before the user is locked out or delayed?"
What to look for: After 5-10 failed attempts, the app should either temporarily block that user or make you wait before trying again.
Why it matters: Without rate limiting, any account on your app can be hacked by someone with enough time and patience.
3. Users Can See Other Users' Data
The problem: This is the most common security flaw in AI-generated apps. A user logs in, changes a number in the URL (like user/123 to user/124), and suddenly they can see another user's private data.
What to ask:
- "Can User A see User B's data by changing the ID in the URL?"
- "Are there ownership checks on every page that shows user-specific data?"
How to test: Create two accounts. Log into one, and try to access the other's data by guessing or changing numbers in the web address.
Why it matters: This is how major data leaks happen. One user accidentally discovers they can see everyone's data, and suddenly your breach is on the news.
4. SQL Injection (Database Attacks)
The problem: If your app doesn't properly handle user input, someone can type special commands into a form field (like a search box or login field) that trick your database into revealing or deleting data.
What to ask:
- "Are all database queries using parameterized statements or an ORM?"
- "Is user input being sanitized before it's used in database queries?"
Why it matters: SQL injection can allow attackers to read your entire database, delete data, or even take over your server.
5. No HTTPS / Weak Encryption
The problem: Without HTTPS, data sent between your users and your app is sent in plain text. Anyone on the same Wi-Fi network (like at a coffee shop) can read it.
What to ask:
- "Is HTTPS enforced for all pages?"
- "Does HTTP automatically redirect to HTTPS?"
What to look for: The URL of your app should start with https:// (not http://). There should be a padlock icon in the browser.
Why it matters: Without HTTPS, passwords, credit card numbers, and personal messages are visible to anyone monitoring the network.
6. Hardcoded Secrets in the Code
The problem: AI tools sometimes put API keys, database passwords, or other secrets directly into the code. If someone views your app's source code or if you share your code on GitHub, these secrets are exposed.
What to ask:
- "Are all API keys and passwords stored in environment variables, not in the code?"
- "Can you check that no secrets are hardcoded anywhere?"
Why it matters: Exposed API keys can be used by anyone — and you'll be billed for their usage. Exposed database passwords can lead to data theft.
7. Unsafe File Uploads
The problem: If your app lets users upload files (profile pictures, documents, etc.), AI-generated code often doesn't check what kind of file is being uploaded. Someone could upload a malicious script instead of an image.
What to ask:
- "Are uploaded files checked for type and size?"
- "Are filenames sanitized to prevent directory traversal attacks?"
- "Are uploaded files stored outside the web root?"
Why it matters: Malicious file uploads can give attackers control of your server.
The Security Checklist (For Non-Technical Founders)
Print this out. Go through it with your developer or use it to ask your AI tool:
- Passwords — Are they hashed (not encrypted) with bcrypt or Argon2?
- Login limits — Is there rate limiting on login attempts?
- Data isolation — Can users only see their own data?
- Database safety — Are all database queries protected against injection?
- HTTPS — Is HTTPS enforced for all traffic?
- Secrets — Are API keys and passwords in environment variables, not in code?
- File uploads — Are uploaded files validated for type and size?
- Session timeout — Do users get logged out after inactivity?
- Error messages — Do error messages avoid revealing technical details?
- Privacy policy — Is there a published privacy policy?
How to Get a Security Review (Without Being a Developer)
You have options:
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Ask your AI tool directly: "Check my app for security issues. Look for: weak password storage, missing rate limiting, data access between users, SQL injection risks, missing HTTPS, hardcoded secrets, and unsafe file uploads."
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Hire a freelance developer for a security audit: A few hours of a professional's time can catch major issues. Try Upwork, Fiverr, or ask in developer communities.
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Use automated scanners: Tools like Snyk or GitGuardian can scan your code for common vulnerabilities. Some have free tiers.
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Manual testing: Create two accounts and try to access each other's data. Try entering special characters in forms. Try uploading unexpected file types.
The Bottom Line
Security isn't about being a developer. It's about being a responsible business owner.
You don't need to understand how hashing algorithms work. You just need to know that passwords should be hashed — and ask the right questions to make sure they are.
The good news: most security problems in AI-generated apps are easy to fix once you know they exist. The bad news: AI won't tell you about them. You have to ask.