AI-generated code review
Run a security check over code your AI just wrote, catch the mistakes it commonly makes, and fix them, so even without security knowledge you can use AI safely.
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AI writes it fast, but it also writes code with holes.
AI-written code runs, but isn't necessarily safe
You're using Cursor, Copilot, Lovable, Bolt, and other AI tools to write code, with stunning speed — a few words generate a whole feature. But here's something you may not have noticed: the rate of security vulnerabilities in AI-generated code is actually quite high.
The reality is this:
- AI often writes code with security problems: hardcoded secrets, missing auth, SQL injection, insecure defaults
- You (perhaps not a professional developer) see it runs and ship it, unable to spot the hidden security issues
- To "make it work," AI often picks the easiest but least secure approach
- On common tasks (like preventing XSS), the error rate of AI-generated code is alarmingly high
- You enjoy AI's speed, but no one catches these hidden issues for you
Industry data shows a significant share of AI-generated code introduces common security vulnerabilities, while more and more people write production code directly with AI. The problem isn't that AI can't be used, it's that its code needs someone to give it a security pass, and you may not be able to spot the problem.
That's the pass Mooth is here to give.
Three steps to give AI-written code a security pass
Give Mooth the code AI just generated
No need for the whole repo — just paste the code or feature AI just wrote.Mooth runs an instant security review
For the mistakes AI commonly makes, it quickly checks this code and finds the security problems inside.Get the problems and fixes
It tells you which security issues this code has, what the consequences would be, and how to fix them, with fixes you can apply directly.If you're writing code with AI but worried about security, run it free once and see whether the code AI wrote for you has buried mines.
What Mooth focuses on
Targets the most common security problems in AI-generated code:
| Problem type | What AI commonly gets wrong |
|---|---|
| Hardcoded secrets | Keys and passwords written directly into code |
| Missing auth | Interfaces and features with no permission check, callable by anyone |
| Injection risk | SQL injection, command injection, from no input handling |
| Insecure defaults | Security checks turned off, insecure default settings used |
| Outdated or vulnerable dependencies | Pulling in libraries with known vulnerabilities |
| Common web vulnerabilities | Against OWASP Top 10, the ones AI tends to step into |
Mooth is especially familiar with the mistakes AI makes when writing code, and catches them fast, instead of leaving you to comb through line by line.
What a review looks like
High severity — SQL injection risk in a database query
Problem: this AI-generated code splices user input directly into a SQL query, with no parameterization.
Consequences: an attacker can craft special content in the input to make your database perform unintended operations, such as dumping the whole users table or even deleting data. This is one of the most classic and most dangerous vulnerabilities.
How to fix: change string concatenation to a parameterized query. Here's the fixed version:
// Parameterized query, so user input is treated as data, not executable code db.query('SELECT * FROM users WHERE id = ?', [userId])Fixed, this is safe. AI often takes the easy route with string concatenation — one of its most common mistakes.
Every item spells out where the problem is, what the consequences would be, and how to fix it, with a fix you can copy directly.
Why Mooth fits reviewing AI code
It knows the mistakes AI loves to make. AI writing code has a fixed set of "bad habits": taking the easy route, using insecure defaults. Mooth reviews specifically for these common mistakes, fast and accurate.
It targets the snippet just generated, no whole-repo scan. You don't need to throw in the whole project. AI just wrote a piece, and Mooth checks it instantly — found and fixed on the spot, fitting into your dev rhythm.
It gives fixes you can apply. Not just "there's a vulnerability here," but the fixed code, ready to copy-paste, with no need to learn how to fix it first.
It speaks plainly. Even if you're not a professional developer, you can see what the problem is and why it's dangerous, instead of being shut out by jargon.
It lets you write with AI with confidence. Enjoy AI's speed without shipping code full of holes — neither held back.
Is your code safe
Reviewing code means giving Mooth the snippet, so:
- It only analyzes the code you provide and won't reach into unrelated systems.
- Nothing enters model training — your code is used only for this review or a context you authorize.
- Deletable and revocable — you can delete the conversation any time and revoke any data-source access.
Review your AI code now
No security knowledge needed, no fixed format to prepare. Paste the code AI just wrote, and soon you'll know whether it has hidden security issues and how to fix them.
Better to give AI-written code a security pass than to let it ship with holes.