New Trends and Privacy Protection Challenges of Cybercrime in the Era of Artificial Intelligence

Abstract

The rapid development of artificial intelligence technology is reshaping the form of the digital economy, while also providing precise, large-scale, and covert technological empowerment for cybercrime, giving rise to new forms of crime such as AI face swapping and counterfeiting AI models to spread Trojans, posing a serious threat to personal privacy and data security. This article is based on authoritative sources such as the "Clean Net 2025" special action case of the Ministry of Public Security and Check Point's "AI Security Report". It systematically analyzes the technical application path of artificial intelligence in cybercrime, summarizes new trends such as the popularization of criminal tools (such as low threshold face swapping software), the precision of attack methods (such as customized fraud scripts), and the collaboration of criminal modes (such as technology logistics division of labor assembly lines); Deeply explore the current situation of expanding privacy leakage scenarios under new types of cybercrime, and analyze the multiple challenges of privacy protection in legal adaptation, technological defense, regulatory governance, and other aspects; Finally, a multidimensional response framework of "technical defense+ legal regulation+ regulatory coordination+ public literacy" was proposed. Research has shown that the double-edged sword effect of artificial intelligence has profoundly changed the pattern of cybercrime, and the privacy protection system needs to transform from passive defense to active prevention and control, achieving a dynamic balance between technological innovation and security through multi-party collaborative governance. This article provides practical reference and theoretical support for addressing network security risks and improving privacy protection mechanisms in the AI era.