The article explores the biggest security risks for audio AI models in 2025, with a focus on vulnerabilities in smart devices, AI voice cloning, and trustworthiness evaluations. It addresses the problems of unauthorized access, privacy violations, fraud, and defamation, appealing to businesses and individuals concerned about audio data security. The article is structured into three main sections: challenges in smart devices, risks of AI voice cloning, and dimensions to evaluate trustworthiness. Key topics include encryption, user consent, and multi-factor authentication, enhancing keyword density and readability for quick scanning.