AI security refers to the practices, technologies, and policies designed to protect artificial intelligence systems from threats, vulnerabilities, and malicious attacks. It involves securing the data, models, and infrastructure used in AI systems to ensure their integrity, confidentiality, and availability. AI security also includes defending against adversarial attacks, preventing data poisoning, safeguarding against model theft or misuse, and ensuring that AI systems operate safely and reliably under potential adversarial conditions.