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

Marc Schmitt, Pantelis Koutroumpis

TL;DR

The paper addresses the problem of cyber shadows emerging from GenAI-enabled threats and negative externalities that threaten individuals, firms, and society. It proposes a dual approach that couples AI-driven threat hunting and autonomous defense with targeted policy measures and regulatory frameworks, such as the EU AI Act and NIST-based practices. Key contributions include a framework for integrating technology and policy, strategies for countering AI-driven image manipulation, and guidance on risk management within EU regulatory contexts. The work aims to provide practical tools and a proactive roadmap for policymakers, researchers, and organizations to build secure, resilient digital ecosystems in the face of rapidly advancing AI threats.

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.

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

TL;DR

The paper addresses the problem of cyber shadows emerging from GenAI-enabled threats and negative externalities that threaten individuals, firms, and society. It proposes a dual approach that couples AI-driven threat hunting and autonomous defense with targeted policy measures and regulatory frameworks, such as the EU AI Act and NIST-based practices. Key contributions include a framework for integrating technology and policy, strategies for countering AI-driven image manipulation, and guidance on risk management within EU regulatory contexts. The work aims to provide practical tools and a proactive roadmap for policymakers, researchers, and organizations to build secure, resilient digital ecosystems in the face of rapidly advancing AI threats.

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.
Paper Structure (24 sections, 3 figures)

This paper contains 24 sections, 3 figures.

Table of Contents

  1. Introduction
  2. Cyber Shadows
  3. Native AI Threat Amplification
  4. Automated Code Creation
  5. Social Engineering and Phishing
  6. Exploitation of Hallucinations
  7. Data Poisoning Attacks
  8. Polymorphic and Metamorphic Malware
  9. Negative Externalities from the use of GenAI
  10. Erosion of Trust in Digital Systems
  11. Data Breaches at the Firm Level
  12. Vulnerabilities in Critical Industries
  13. Toward Shadow Neutralization
  14. AI-driven Threat (Shadow) Hunting
  15. Autonomous Threat Detection Systems
  16. ...and 9 more sections

Figures (3)

  • Figure 1: Technology driven Threat Amplification by Generative AI
  • Figure 2: The Three Pillars of GenAI induced Threat Amplification in Social Engineering Schmitt2024
  • Figure 3: Vulnerability and Exposure Increase, Source: National Vulnerability Database (NVD/NIST), data for 2023 as of 11th November 2023. CVSS scores range from 0-10 with 10 representing the most critical CVEs.