Audio and video prompt injection risks involve malicious manipulation of inputs to deceive AI systems that process multimodal data, such as voice assistants, transcription software, or video analysis tools. Attackers can embed subtle yet malicious commands or hidden messages within audio frequencies or video frames, potentially undetectable to human perception but interpretable by AI models. Such injections can prompt AI systems to take unintended actions, leak sensitive data, or misclassify content, leading to significant security vulnerabilities, misinformation propagation, and privacy breaches. As multimodal AI systems become more prevalent, the importance of safeguarding against these sophisticated injection attacks increases substantially.