I Created a SQL Injection Challenge… And AI Failed to Catch the Biggest Security Flaw 💥

I recently designed a simple SQL challenge. Nothing fancy. Just a login system: Username Password Basic query validation Seemed straightforward, right? So I decided to test it with AI. I gave the same problem to multiple models. Each one confidently generated a solution. Each one looked clean. Each one worked. But there was one problem. 🚨 Every single solution was vulnerable to SQL Injection. Here’s what happened: Most models generated queries like: SELECT * FROM users WHERE username = 'input' AND password = 'input'; Looks fine at first glance. But no parameterization. No input sanitization. No prepared statements. Which means… A simple input like: ' OR '1'='1 Could bypass authentication completely. 💡 That’s when it hit me: AI is great at generating code. But it doesn’t always think like an attacker. It optimizes for: ✔️ Working solutions ✔️ Clean syntax ✔️ Quick output But often misses: ❌ Security edge cases ❌ Real-world exploits ❌ Defensive coding practices After testing further, I n