网络阴影：利用AI和针对性政策措施消除安全威胁
Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures
AI总结：
本文研究了数字时代网络阴影的系统性威胁，提出结合AI驱动的入侵检测系统与针对性政策干预的多层次防御策略，以消除网络威胁并保障数字生态安全。
摘要：
由AI革命驱动的数字时代带来了巨大机遇，但也隐藏着安全威胁，我们将其称为网络阴影。这些威胁在个人、组织和社会层面构成风险。本文研究了这些网络威胁的系统性影响，并提出了一种全面的网络安全策略，该策略将AI驱动的解决方案（如Intrusion Detection Systems (IDS)）与针对性的政策干预相结合。通过结合技术和监管措施，我们创建了一个多层次的防御体系，能够应对直接威胁和间接的负面外部性。我们强调，AI驱动的解决方案与政策干预之间的协同作用对于消除网络威胁和减轻其对数字经济的负面影响至关重要。最后，我们强调需要持续调整这些策略，特别是应对自主AI驱动攻击的快速发展，以确保创建安全且有弹性的数字生态系统。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
