Detection technologies for generative AI-forged KYC materials include advanced machine learning and biometric systems. Machine learning algorithms analyze document features, metadata, and inconsistencies like unnatural fonts or digital artifacts to detect forged IDs. Behavioral biometrics, such as mouse movements and typing patterns, identify suspicious user behavior. Deepfake detection uses spectral video analysis and artifact checks to spot AI-generated videos or images bypassing liveness tests. Cross-referencing data with issuing databases and using NFC-enabled IDs enhances verification. Generative adversarial networks generate synthetic data to train detection models, improving accuracy. Natural language processing  flags phishing or inconsistent text in fraudulent communications. Real-time monitoring, device fingerprinting, and risk scoring further strengthen defenses. However, challenges like evolving fraud techniques and ethical concerns require continuous innovation and robust data privacy measures.