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

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.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Artificial Intelligence
Published
2025-01-09
DOI
https://doi.org/10.1109/tai.2025.3527398
Citations
7
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
22.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Pantelis Koutroumpis, Marc Schmitt
7 citations
IEEE Transactions on Artificial Intelligence
Blockchain Technology Applications and Security
22.72
article

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

Pantelis Koutroumpis, Marc Schmitt
article en
7 citations

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.

IEEE Transactions on Artificial IntelligenceVol. 6(7)
Siemens (Germany) (DE), University of Oxford (GB), Science Oxford (GB)
Openalex Percentile: Top 1%
Blockchain Technology Applications and Security
22.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Cyber Shadows: Neutralizing Security Threats With AI and Targeted Policy Measures — Pantelis Koutroumpis, Marc Schmitt · IEEE Transactions on Artificial Intelligence (2025) | TGRS Research Map | TGRS