Synthetic data is instrumental in revolutionizing fraud detection, overcoming challenges of class imbalance and protecting privacy. Leveraging GANs and Python libraries, the technical implementation involves creating, integrating, and retraining models with synthetic data. Ensuring ethical use and compliance with regulations is crucial in harnessing the potential of synthetic data in fraud detection.