In the era of deepening digitalization and intelligence, the field of artificial intelligence (AI) has made tremendous progress in recent years. Along with the widespread application of AI, there are challenges that AI technology faces in terms of privacy, model algorithm security, ethics, and morality. The implementation of artificial intelligence (AI) governance and compliance measures by enterprises is crucial for ensuring the healthy, responsible, and sustainable application of AI technology. With the continuous improvement of AI laws and regulations worldwide, enterprises must comply with these laws and regulations to avoid legal litigation and fines. AI systems may bring various risks, including data breaches, algorithm biases and decision errors, intellectual property infringement risks, etc. Through effective governance and compliance measures, enterprises can identify, assess and manage these risks, which helps protect their AI technology and data assets. AI governance requires companies to improve the transparency and interpretability of AI systems, which is crucial for building trust between enterprises and the users and regulatory agencies. Within a compliant framework, enterprises can explore and implement AI technology more securely, drive innovation in products and services, and gain a competitive advantage in the market. Implementing AI governance and compliance measures in enterprises helps ensure the proper use of AI technology and better utilization of it to protect the interests and reputation of the enterprise, achieving long-term success and growth.