Clean and validate user inputs before they reach your AI models. Prevent injection attacks, remove malicious patterns, and ensure data quality.
Comprehensive input cleaning for secure AI interactions
Multi-stage cleaning process for comprehensive protection
Code samples for input sanitization
// Input sanitization middleware function sanitizeInput(input) { let sanitized = input; // 1. Normalize Unicode sanitized = sanitized.normalize('NFKC'); // 2. Remove null bytes sanitized = sanitized.replace(/\0/g, ''); // 3. Escape HTML entities sanitized = sanitized .replace(/&/g, '&') .replace(/, '<') .replace(/>/g, '>'); // 4. Truncate to max length const MAX_LEN = 8192; if (sanitized.length > MAX_LEN) { sanitized = sanitized.substring(0, MAX_LEN); } return sanitized; }
import re def detect_injection(text): """Detect common injection patterns""" patterns = [ # SQL Injection r"(\'|\"|;|--|\/\*|\*\/)", r"(union|select|insert|delete|drop)", # XSS r"", r"javascript:", # Command Injection r"[;&|`$(){}]", # Prompt Injection r"ignore (previous|all) instructions", r"system:\s*you are", ] for pattern in patterns: if re.search(pattern, text, re.I): return True # Injection detected! return False
Configure rules for different attack vectors