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

TL;DR

This paper discusses the systemic cybersecurity threats posed by AI-driven attacks and proposes a comprehensive strategy combining AI solutions and targeted policies to create resilient digital ecosystems.

Contribution

It introduces an integrated approach that combines AI-based cybersecurity tools with policy measures to effectively neutralize cyber shadows and adapt to evolving threats.

Findings

AI-driven IDS enhances threat detection accuracy

Policy interventions reduce cyber attack impact

Synergy between AI and policy improves resilience

Abstract

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.