Artificial intelligence systems are revolutionizing industries, but their widespread adoption introduces a new frontier of security challenges. Understanding and mitigating these unique AI-specific risks, from data poisoning to adversarial attacks, is crucial for building robust and trustworthy AI applications. This article explores the vulnerabilities inherent in AI models and outlines comprehensive strategies to defend against them, ensuring the integrity and reliability of your intelligent systems.