Innovation science and technologiy Volume 2 Issue 6 (2026)

USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES AGAINST CYBER THREATS IN THE PUBLIC SECTOR

Nuratdinov, Xushnid, Erejepov, Kewlimjay

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Abstract

The article addresses the application of artificial intelligence and machine learning technologiesfor protecting public-sector information systems against cyber threats. The inadequacy of classical signaturebasedtools against modern attacks is analyzed. The use of ML models for intrusion detection, malwareclassification, phishing protection, and user behavior analytics is reviewed. New risks linked to the use of AItools by attackers themselves are discussed.

artificial intelligence, cybersecurity, public sector, machine learning, intrusion detection, phishing, deepfake.

Metadata source: the journal's OAI-PMH archive · Sindex does not store the full text; it links to the source.

Cite

APA 7 
Nuratdinov, Xushnid & Erejepov, Kewlimjay (2026). USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES AGAINST CYBER THREATS IN THE PUBLIC SECTOR. Innovation science and technologiy, 2(6).
GOST R 7.0.5 
Nuratdinov, Xushnid, Erejepov, Kewlimjay USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES AGAINST CYBER THREATS IN THE PUBLIC SECTOR // Innovation science and technologiy. 2026. Т. 2. № 6.
BibTeX 
@article{xushnid2026,
  author  = {Nuratdinov, Xushnid and Erejepov, Kewlimjay},
  title   = {USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES AGAINST CYBER THREATS IN THE PUBLIC SECTOR},
  journal = {Innovation science and technologiy},
  year    = {2026},
  volume  = {2},
  number  = {6}
}
RIS 
TY  - JOUR
AU  - Nuratdinov, Xushnid
AU  - Erejepov, Kewlimjay
TI  - USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES AGAINST CYBER THREATS IN THE PUBLIC SECTOR
JO  - Innovation science and technologiy
PY  - 2026
VL  - 2
IS  - 6
ER  -