AI-Generated Cyber Threats: A New Frontier in Cybersecurity Risk

The advent of generative artificial intelligence (AI), exemplified by models like ChatGPT, has revolutionized various sectors, but it has also introduced new avenues for cybercriminal activities. Cyber adversaries are increasingly leveraging AI tools to automate and enhance the sophistication of cyberattacks, including malware development, phishing campaigns, and system exploitation. These AI-driven threats lower the barrier to entry for cybercriminals, enabling individuals with limited technical expertise to execute complex attacks. For instance, threat actors have utilized ChatGPT to debug malicious code, develop custom scripts, and obfuscate malware.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-06
DOI
https://doi.org/10.5281/zenodo.15349523
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Generated Cyber Threats: A New Frontier in Cybersecurity Risk

Zenodo (CERN European Organization for Nuclear Research)
Adversarial Robustness in Machine Learning
article

AI-Generated Cyber Threats: A New Frontier in Cybersecurity Risk

article en

Abstract

The advent of generative artificial intelligence (AI), exemplified by models like ChatGPT, has revolutionized various sectors, but it has also introduced new avenues for cybercriminal activities. Cyber adversaries are increasingly leveraging AI tools to automate and enhance the sophistication of cyberattacks, including malware development, phishing campaigns, and system exploitation. These AI-driven threats lower the barrier to entry for cybercriminals, enabling individuals with limited technical expertise to execute complex attacks. For instance, threat actors have utilized ChatGPT to debug malicious code, develop custom scripts, and obfuscate malware.

Zenodo (CERN European Organization for Nuclear Research)
State University of Semarang (ID)
Peace, Justice and strong institutions
Openalex Percentile: Top 77%
Adversarial Robustness in Machine Learning
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