KIBERXAVFSIZLIKNI AVTOMATLASHTIRISHDA SUN’IY INTELLEKT ROLI
DOI:
https://doi.org/10.65164/hm073g19Keywords:
kiberxavfsizlik, sun’iy intellekt, mashinaviy o‘rganish, avtomatlashtirish, tahdidlarni aniqlash, SOC, axborot xavfsizligi, raqamli himoya, kiberhujumlar, anomaliya tahliliAbstract
Ushbu maqolada kiberxavfsizlikni avtomatlashtirish jarayonida Sun’iy intellekt texnologiyalarining o‘rni keng va chuqur yoritilgan. Zamonaviy axborot tizimlarida xavfsizlikni ta’minlashda avtomatlashtirilgan yondashuvlarning ahamiyati, tahdidlarni aniqlash, tahlil qilish va ularga tezkor javob berishda Machine Learning algoritmlarining roli batafsil tahlil qilingan. Shuningdek, Security Operations Center faoliyatida sun’iy intellektdan foydalanishning amaliy jihatlari, afzalliklari, muammolari va istiqbollari keng ko‘rib chiqilgan.
References
1.
IBM Security. Cost of a Data Breach Report 2023. IBM Corporation, 2023.
2.
ENISA. ENISA Threat Landscape 2022. European Union Agency for Cybersecurity, 2022.
3.
Cisco. Cybersecurity Report Series 2021–2024. Cisco Systems, 2024.
4.
Microsoft. Digital Defense Report 2023. Microsoft Security, 2023.
5.
World Economic Forum. Global Cybersecurity Outlook 2024. WEF, 2024.
6.
NIST. AI Risk Management Framework 1.0. National Institute of Standards and Technology, 2023.
7.
Gartner. Top Trends in Cybersecurity 2022–2024. Gartner Research, 2024.
8.
Sarker, I. H. Machine Learning for Cybersecurity: A Comprehensive Review. Journal of Cybersecurity and Privacy, 2021.
9.
Goodfellow, I., McDaniel, P., Papernot, N. Making Machine Learning Robust Against Adversarial Inputs. Communications of the ACM, 2020.
10.
Shokri, R., et al. Privacy Risks in Machine Learning Systems. IEEE Security & Privacy, 2021.
