TY - GEN
T1 - Disruptive innovation
T2 - 6th International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024
AU - Armijos, Santiago
AU - Coronel, Juan
AU - Ulloa, Diego
AU - Veintimilla-Reyes, Jaime
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - Systematic Literature Reviews (SLRs) play a crucial role in consolidating research findings across various domains. This study conducts an SLR to analyze the implications of Generative AI (GenAI) in cybersecurity, identifying key challenges, risks, and opportunities. The increasing adoption of GenAI has transformed cybersecurity by enhancing threat detection, simulating cyber-attacks, and automating security protocols. However, it also introduces significant risks, including ethical concerns, misuse by cybercriminals, and challenges in regulatory compliance. Our review addresses several research questions: the ethical and legal implications of AI-driven cyberattacks, the capabilities that cybercriminals can exploit, corporate strategies to counter AI-generated malware, and the scope of current research. The findings reveal a growing interest in GenAI’s role in cybersecurity, particularly in cyber defense automation and malware detection. However, gaps remain in research related to specific GenAI tools such as ChatGPT. This review highlights the dual-use nature of GenAI, emphasizing both its potential to strengthen cybersecurity and its risks as a tool for sophisticated cyber threats. Future research should focus on regulatory frameworks, ethical considerations, and AI-driven countermeasures to mitigate evolving cyber threats
AB - Systematic Literature Reviews (SLRs) play a crucial role in consolidating research findings across various domains. This study conducts an SLR to analyze the implications of Generative AI (GenAI) in cybersecurity, identifying key challenges, risks, and opportunities. The increasing adoption of GenAI has transformed cybersecurity by enhancing threat detection, simulating cyber-attacks, and automating security protocols. However, it also introduces significant risks, including ethical concerns, misuse by cybercriminals, and challenges in regulatory compliance. Our review addresses several research questions: the ethical and legal implications of AI-driven cyberattacks, the capabilities that cybercriminals can exploit, corporate strategies to counter AI-generated malware, and the scope of current research. The findings reveal a growing interest in GenAI’s role in cybersecurity, particularly in cyber defense automation and malware detection. However, gaps remain in research related to specific GenAI tools such as ChatGPT. This review highlights the dual-use nature of GenAI, emphasizing both its potential to strengthen cybersecurity and its risks as a tool for sophisticated cyber threats. Future research should focus on regulatory frameworks, ethical considerations, and AI-driven countermeasures to mitigate evolving cyber threats
KW - AI-driven threats
KW - Cyber defense
KW - Cybersecurity
KW - Ethical implications
KW - Generative AI
KW - Systematic literature review
UR - https://www.scopus.com/pages/publications/105030284264
U2 - 10.1007/978-3-031-98768-7_11
DO - 10.1007/978-3-031-98768-7_11
M3 - Contribución a la conferencia
AN - SCOPUS:105030284264
SN - 9783031987670
T3 - Lecture Notes in Networks and Systems
SP - 181
EP - 206
BT - Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024 - Volume 1
A2 - Garcia, Marcelo V.
A2 - Reyes, John-Paul
A2 - Nuñez, Carlos
A2 - Gordón-Gallegos, Carlos
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 21 October 2024 through 25 October 2024
ER -