Cyber Shadows: Neutralizing Security Threats With AI and Targeted Policy Measures

Marc Schmitt;Pantelis Koutroumpis
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引用次数: 0

Abstract

The digital age, driven by the Artificial Intelligence (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 article 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.
网络阴影:用人工智能和有针对性的政策措施消除安全威胁
由人工智能(AI)革命推动的数字时代带来了重大机遇,但也隐藏着安全威胁,我们称之为网络阴影。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,并提出了一项综合网络安全战略,该战略将入侵检测系统(IDS)等人工智能驱动的解决方案与有针对性的政策干预相结合。通过结合技术和监管措施,我们创建了能够解决直接威胁和间接负面外部性的多层防御。我们强调,人工智能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并减轻其对数字经济的负面影响至关重要。最后,我们强调需要不断调整这些战略,特别是在应对人工智能驱动的自主攻击的快速发展时,以确保创建安全、有弹性的数字生态系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
7.70
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