用AI与政策协同防御网络威胁，构建安全数字生态
Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures
- 融合AI检测系统与精准政策干预，形成多层防护
- 强调技术与监管协同，应对直接威胁与间接外溢风险
- 适合关注网络安全、政策制定与数字治理的研究者
数字时代在人工智能驱动下带来巨大机遇，同时也潜藏被称为‘网络阴影’的安全威胁，对个人、组织和社会构成风险。本文分析此类威胁的系统性影响，提出融合人工智能驱动解决方案（如入侵检测系统，IDS）与针对性政策干预的综合网络安全策略。通过技术与监管措施的结合，构建可应对直接威胁及间接负面外部性的多层次防御体系。研究强调，AI技术与政策手段的协同是消除网络威胁、减轻其对数字经济负面影响的关键。最后指出，必须持续调整策略以应对自主型人工智能攻击的快速演进，确保数字生态系统的安全与韧性。
原文摘要 · Abstract (English)
The digital age, driven by the AI revolution, brings significant opportunities but also conceals security threats, which we refer to as cyber shadows. These threats pose risks at individual, organizational, and societal levels. This paper examines the systemic impact of these cyber threats and proposes a comprehensive cybersecurity strategy that integrates AI-driven solutions, such as Intrusion Detection Systems (IDS), with targeted policy interventions. By combining technological and regulatory measures, we create a multilevel defense capable of addressing both direct threats and indirect negative externalities. We emphasize that the synergy between AI-driven solutions and policy interventions is essential for neutralizing cyber threats and mitigating their negative impact on the digital economy. Finally, we underscore the need for continuous adaptation of these strategies, especially in response to the rapid advancement of autonomous AI-driven attacks, to ensure the creation of secure and resilient digital ecosystems.
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