AI YORDAMIDA LOG TAHLILINI AVTOMATLASHTIRISH

Authors

  • Musurmonov Behruz Farhodjon o‘g‘li Muhammad al-Xorazmiy nomidagi Toshkent axborot texnologiyalari universiteti, talabasi Author

Keywords:

Sun’iy intellekt (AI), Mashinani o‘rganish (ML),Tabiiy tilni qayta ishlash (NLP), Log tahlili, Anomaliya aniqlash, Kiberxavfsizlik, Avtomatlashtirish, SIEM (Security Information and Event Management), XDR (Extended Detection and Response), Tahdid ovlash (Threat Hunting).

Abstract

Ushbu maqolada sun’iy intellekt (AI) texnologiyalaridan foydalangan holda log tahlilini avtomatlashtirish masalasi keng yoritilgan. Axborot tizimlarida har kuni hosil bo‘ladigan millionlab log yozuvlarini qo‘lda yoki an’anaviy usullar bilan tahlil qilish tobora murakkablashib bormoqda. Shu bois, log ma’lumotlaridagi anomaliyalarni aniqlash, xavfsizlik hodisalarini erta bosqichda kuzatish hamda tizim faoliyatini real vaqt rejimida baholash uchun AI asosidagi yondashuvlar muhim ahamiyat kasb etmoqda. Maqolada mashinaviy o‘rganish (ML), tabiiy tilni qayta ishlash (NLP) va chuqur o‘rganish (DL) usullarining log tahlilidagi amaliy qo‘llanilishi tahlil qilinadi. Shuningdek, Wazuh, SIEM va XDR tizimlari misolida AI yordamida tahlil jarayonini optimallashtirish usullari keltirilgan. Tadqiqot natijalari shuni ko‘rsatadiki, sun’iy intellekt asosidagi log tahlil tizimlari xavfsizlikni oshirish, inson omilini kamaytirish hamda tahlil tezligini bir necha baravar ko‘paytirishga yordam beradi.

References

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Published

2025-12-02