Secure Coding Practices
Apply secure development principles to minimize risks and protect your AI SaaS from attacks.
Secure Coding Basics
Welcome to secure coding practices! In AI SaaS, your code isn't just about features; it's about protecting user data and your business from cyber threats.
This lesson will cover fundamental principles to write code that's robust against common attacks. Think of it as building your AI application with a strong, secure foundation.
Never Trust Input
One of the golden rules of secure coding is: never trust user input. Any data coming from outside your application (user forms, API calls, files) could be malicious.
- Validate data: Check type, format, length, and range.
- Sanitize data: Remove or escape dangerous characters.
- Fail securely: Reject invalid input rather than trying to fix it.