AI-Driven Cyber Offense and Defense: Technological Evolution, Game Analysis, and Future Challenges

Zuyang Huang

doi:10.47297/taposatWSP2633-456907.20260707

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AI-Driven Cyber Offense and Defense: Technological Evolution, Game Analysis, and Future Challenges

7卷第7期

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AI-Driven Cyber Offense and Defense: Technological Evolution, Game Analysis, and Future Challenges
AI-Driven Cyber Offense and Defense: Technological Evolution, Game Analysis, and Future Challenges
School of Cyber Science and Technology, Shandong University, Qingdao, Shandong, 266000, China
2026年7卷第7期页码：35-38
网络首发：2026-08-21，

纸质出版：2026-07-30
DOI：10.47297/taposatWSP2633-456907.20260707
Accepted：

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Zuyang Huang. (2026). AI-Driven Cyber Offense and Defense: Technological Evolution, Game Analysis, and Future Challenges. 科技理论与实践（英文版）, 7(7), 35-38.

Huang Zuyang.AI-Driven Cyber Offense and Defense: Technological Evolution, Game Analysis, and Future Challenges[J].Theory and Practice of Science and Technology,2026,07(07):35-38.
Zuyang Huang. (2026). AI-Driven Cyber Offense and Defense: Technological Evolution, Game Analysis, and Future Challenges. 科技理论与实践（英文版）, 7(7), 35-38. DOI： 10.47297/taposatWSP2633-456907.20260707.

Huang Zuyang.AI-Driven Cyber Offense and Defense: Technological Evolution, Game Analysis, and Future Challenges[J].Theory and Practice of Science and Technology,2026,07(07):35-38. DOI： 10.47297/taposatWSP2633-456907.20260707.

摘要

Abstract

The cyber domain has entered a new era defined by artificial intelligence

particularly generative AI and large language models. This paper argues that AI does not simply strengthen one side but fundamentally reshapes the "rules of the game" and evolutionary dynamics of cyber conflict. It systematically examines how AI enables "democratized" and "adaptive" threats on the offensive side

while driving a paradigm shift toward "behavioral cognition" and "proactive prediction" in defense. Beyond a mere technical inventory

this paper innovatively constructs a "generative AI-driven offense-defense game cycle model

" demonstrating the deep strategic interdependence between attackers and defenders

where technological progress serves as the core engine that breaks equilibrium and drives evolution. In response to four major challenges—data

trust

real-time performance

and adversarial robustness—this paper proposes that future defense systems must evolve toward a "trustworthy

adaptive

and co-evolutionary intelligent immune system." This is not only a technical pathway but also an inevitable strategic choice for addressing uncertain threats in the age of AI.

关键词

Keywords

references

Gu Changni, Xu Guoqing. Review and Trend Outlook of International Cybersecurity Situation in 2025 [J ] . China Information Security , 2026(1): 25-29.

Yu Zhiqiang, Li Chao, Li Gang, et al. AI-Driven Network Security Threat Detection [J ] . Railway Communication and Signal Engineering Technology , 2026, 23(1): 11-19.

Xu Yan. Analysis of AI Empowering U.S. Cyberspace Security Issues [J ] . Information Security and Communications Privacy , 2025(5): 58-66.

Miao Haoyu, Hou Chao, Bao Tianyuan, et al. Design and Implementation of AI-Based Network Security Offense and Defense System [J ] . China Broadband , 2025(12): 58-60.

Gao Dongyu. Application of Artificial Intelligence Technology in Network Information Security [J ] . Science and Technology Innovation and Application , 2025(33): 149-152.

Zhang Peibing, Isa Awt. Research on AI-Driven Network Attack Detection and Intelligent Defense System [J ] . Information and Computer , 2025(10): 70-72.

Shang Jie. Application and Future Development Direction of AI in Cyber Offense and Defense Confrontation [J ] . China Broadband , 2024(11): 64-66.

Chen Shiwu, Jin Gang, Wang Wei, et al. Research Progress on Network Attack Detection Technology Based on Large Language Models [J ] . Journal of Information Security Research , 2026, 12(1): 16-23.

He Ying. AI-Based Network Security Attack Threat Defense System [J ] . Artificial Intelligence Research , 2024(7): 49-51.

Zhou Yi. Research on the Game Evolution and Defense Countermeasures of Cybersecurity Driven by Generative Artificial Intelligence [J ] . China Information World , 2025(7): 144-146.