AI Agent Security Checklist Before You Ship to Production

A staggering 75% of AI-powered chatbots are vulnerable to simple input manipulation attacks, allowing malicious users to extract sensitive information or disrupt entire systems. The Problem Consider a simple AI-powered chatbot implemented in Python, designed to provide user support: import nltk from nltk.stem import WordNetLemmatizer def process_input ( user_input ): lemmatizer = WordNetLemmatizer () tokens = nltk . word_tokenize ( user_input ) tokens = [ lemmatizer . lemmatize ( token ) for token in tokens ] # Directly use the tokens to query the database query = " SELECT * FROM users WHERE name LIKE ' %{}% '" . format ( tokens [ 0 ]) # Execute the query and return the results return execute_query ( query ) def execute_query ( query ): # Connect to the database and execute the query import sqlite3 conn = sqlite3 . connect ( " database.db " ) cursor = conn . cursor () cursor . execute ( query ) results = cursor . fetchall () conn . close () return results In this example, an attacker c