THREATS AND COUNTERMEASURES OF ARTIFICIAL INTELLIGENCE TO CYBERSECURITY
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Abstract
Background and Purpose: The rapid advancement of artificial intelligence (AI) has brought both significant opportunities and unprecedented challenges to cybersecurity defense. AI-driven attack techniques are becoming increasingly sophisticated, while traditional cybersecurity measures often suffer from technological lag, limited response mechanisms, and insufficient intelligence. This study aims to examine the impact of AI on cybersecurity defense and to explore effective strategies for addressing AI-enabled security threats.
Methods: This paper analyzes the development characteristics and emerging trends of AI technologies in the contemporary digital environment. It systematically examines AI-based cyberattack models and their implications for existing security systems. Based on this analysis, comprehensive and practical countermeasures are proposed, integrating intelligent detection, adaptive defense mechanisms, and coordinated response strategies.
Results: The findings indicate that AI significantly reshapes both offensive and defensive dimensions of cybersecurity. While AI-enhanced attacks increase the complexity of threat landscapes, the adoption of intelligent security technologies can improve threat identification accuracy, response speed, and overall defense resilience. Integrated AI-based defense strategies demonstrate greater adaptability to evolving attack patterns.
Conclusion: Artificial intelligence plays a crucial role in enhancing modern cybersecurity defense. By leveraging advanced AI technologies and implementing comprehensive countermeasures, cybersecurity systems can achieve higher levels of intelligence, robustness, and effectiveness in addressing emerging cyber threats.