In sensitive industries like healthcare and finance, GAN models are increasingly scrutinized, leading to calls for specific regulatory frameworks that ensure data privacy, security, and compliance with existing legal standards. While there isn't a universal regulatory framework exclusively for GAN models, their use often falls under broader AI governance policies and regulations that mandate the ethical use of AI, including considerations for data protection, transparency, and accountability. Organizations in these sectors are typically expected to adhere to industry-specific regulations, such as HIPAA for healthcare in the United States or GDPR in Europe for data protection, which indirectly govern how GAN models can be deployed, mainly concerning personal data and ensuring the reliability of generated outcomes.