AI-driven cybersecurity: opportunities, challenges, and threats

Authors

  • Mirzayev Muhammadjon Muhammadayub ugli Fergana State Technical University
  • Asatullayev Diyorbek Mirzatillo ugli Fergana State Technical University

Keywords:

cybersecurity, cyberattack, AI (artificial intelligence), Detecting New Threats, Battling Bots, Breach Risk Prediction

Abstract

The cyberattack surface in modern enterprise environments is massive, and it’s continuing to grow rapidly. This means that analyzing and improving an organization’s cybersecurity posture needs more than mere human intervention.

References

1. Yudkowsky, E. Artificial intelligence as a positive and negative factor in global risk. Oxford city. Oxford University Press 2008-y.303.

2. Vidhya P.M. (February 2014). CYBER SECURITY. International Journal of Computer Science and Mobile Computing. 3 (2), 586–590.

3. Ergashev O.M. Ensuring information security of radio engineering systems // Theory and practice of modern science. – 2018. – №. 6. – С. 689-691.

4. Daniel R. Faust.” Cybersecurity Expert”.New York. PowerKids Press 2018-y.582 pg.

5. Yudkowsky, E. 2008. Artificial intelligence as a positive and negative factor in global risk. In

6. Global catastrophic risks. Oxford University Press. 303.

Published

2025-06-22

How to Cite

Mirzayev, M., & Asatullayev, D. (2025). AI-driven cybersecurity: opportunities, challenges, and threats. Research and Implementation, 3(6), 261–265. Retrieved from https://rai-journal.uz/index.php/rai/article/view/1471

Issue

Section

Статьи

Similar Articles

1 2 3 4 5 6 7 8 > >> 

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)

1 2 > >>