@article{article_1695702, title={Examining the Ethical Risks of Generative AI in Cybersecurity: An Experimental Study on Ethical, Gray Area and Unethical Usage Scenarios}, journal={Siber Güvenlik ve Dijital Ekonomi}, volume={1}, pages={1–9}, year={2025}, author={Takgil, Büşra}, keywords={Generative AI, Siber Güvenlik, Etik Riskler, Gri Alan Kullanımları, Yapay Zeka Güvenliği}, abstract={Generative AI(GenAI) systems, which are among the emerging artificial intelligence technologies, have started to play an important role in the field of cyber security for both defense and attack purposes. This study aims to systematically analyze the ethical risks of GenAI in cybersecurity. In the study, firstly, a literature review on the usage areas of GenAI in cybersecurity was conducted, then ethical, gray area and unethical usage scenarios were developed and applied experiments were carried out. Each scenario was tested separately using large language models(LLM) such as OpenAI ChatGPT and DeepSeek, and metrics such as accuracy rates, false positive rates and ethical risks were analyzed. The applied results have shown that GenAI-based systems can achieve high accuracy rates in early detection of security threats, but at the same time, they can cause serious ethical issues such as individual privacy violations, misleading content production, and malicious use. The findings of the study emphasize the need for stronger policy regulations, technical limitations, and ethical frameworks to ensure the safe and ethical use of Generative AI technologies in cybersecurity. The results also provide significant contributions to the academic literature and practitioners on how GenAI systems should be managed from both defensive and offensive perspectives.}, number={1}, publisher={Düzce Üniversitesi}