<p><?tk 2?>Facing a global discussion on novel ethical and security issues triggered by AI, existing AI governance policies and regulations are not only effective in preventing and addressing AI risks but also provide fresh samples and valuable references for global AI governance. Clarifying and respecting the ethical security baselines of different countries and regions regarding AI governance will contribute to the healthy and harmonious development of global AI governance and cooperation. This paper selects the latest relevant policies and regulations from China, the European Union (EU), and the United States (US)-countries leading in AI technology-and conducts a classification and statistical analysis of these three documents based on securitization theory and ethical principles as two analytical frameworks. The comparative study reveals that when AI ethical issues are constructed as security problems, “national and societal security” and “individual privacy rights and data protection” are the common core concerns across all three documents, yet each exhibits distinct governance orientations. Relatively, China focuses more on the government’s responsibility for managing the secure and healthy development of the AI market. The US places the highest emphasis on “security and safety,” primarily concerning threats from “countries of concern,” whereas China and the EU are more focused on internally generated threats, such as those from the market and relevant departments. The EU’s approach involves a greater number of ethical principles and securitization discourse categories, highlighting multi-stakeholder cooperation, participation, and oversight.</p>