Generative AI Applications in Cybersecurity and Cybercrime
Generative AI Applications in Cybersecurity and Cybercrime

Author(s): Dragoș-Ionuț IONESCU
Subject(s): Politics / Political Sciences, Politics, Economy, Security and defense, ICT Information and Communications Technologies
Published by: Asociatia Romana pentru Asigurarea Securitatii Informatiei
Keywords: Artificial Intelligence; ChatGPT; cybersecurity; cybercrime; machine-learning
Summary/Abstract: In the rapidly evolving digital landscape, Artificial Intelligence (AI) and Machine Learning Software (MLS) are playing increasingly significant roles in cybersecurity and cyber-attacks. This article explores the multifaceted applications of AI and MLS in both defending against and perpetrating cyber threats. It delves into how these technologies are used to enhance security measures, detect anomalies, and predict potential threats, while also examining their use in executing sophisticated cyber-attacks, including password cracking, social authentication attacks, and the creation of evasive malware. The objective is to provide a comprehensive overview of the current state of AI and MLS in cybersecurity on both offense and defense and to provide some examples for the most common generative AI tools.

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