As AI-generated content becomes increasingly sophisticated, verification systems have become essential to maintain digital trust. These systems analyze multimodal data, including text, images, and videos, to detect manipulation such as deepfakes or synthetic media. Modern approaches combine deep learning models trained on known manipulation patterns with content provenance tracking techniques. In some implementations, blockchain is used to ensure immutability of published content metadata. This field has critical applications in journalism, social media platforms, cybersecurity, and information integrity, making it one of the most important AI domains today.