Adaptive Biomertic Decryption With Anti Spoofing Verification

Deepfakes generated using advanced Artificial Intelligence (AI) and Deep Learning techniques have become increasingly realistic, creating serious concerns in digital security, misinformation, cybercrime, and identity fraud. Traditional deepfake detection methods often focus on a single modality such as image, audio, or video, which limits their effectiveness against sophisticated manipulated content. This paper presents FAUTH AI, a multimodal deepfake detection system that integrates image, audio, and video analysis using deep learning architectures to improve detection accuracy and reliability.