AI-Generated Python Code Is Fast — But Is It Secure?

Over the past few months, I’ve been using AI tools (ChatGPT, Copilot, etc.) to generate Python code for small features and experiments. It’s fast. It’s convenient. It often “looks correct.” But I started noticing something uncomfortable. A lot of AI-generated Python code includes patterns like: SQL queries built with string concatenation eval() used without restrictions Direct file path concatenation Hardcoded API keys Unsafe os.system() usage Nothing obviously broken. But potentially insecure. As someone experimenting with AI-assisted coding, I kept asking: How do we quickly sanity-check AI-generated code before shipping it? Manual review works — but it’s easy to miss things, especially for beginners. So I built a small experiment called AICodeRisk. It’s intentionally simple: Paste Python code It analyzes for common security vulnerabilities Returns a structured JSON risk report Includes severity, line numbers, and suggested fixes No accounts. No integrations. Just paste → analyze → re