ASSESSMENT OF THE EFFECTIVENESS OF SPECIALIZED ARTIFICIAL INTELLIGENCE MODELS IN THE CYBER DEFENSE SYSTEM OF UKRAINE: TECHNICAL AND LEGAL ASPECT

Abstract

The article explores the possibilities of using specialized artificial intelligence (AI) models in the field of cybersecurity, in particular, using the latest GPT-5.4-Cyber model as an example. Modern cyber threats are characterized by a high level of complexity, dynamism, and cross-border nature, which creates an urgent need for the use of intelligent systems for automated analysis and rapid response.

This issue becomes particularly relevant in the context of martial law and hybrid warfare, where Ukraine's digital infrastructure is becoming the object of constant attacks. The study analyzes in detail the functional features of the model, its role in ensuring national cyber defense, as well as potential risks and prospects for its implementation in the daily activities of law enforcement agencies of Ukraine. Special attention is paid to the activities of units of the National Police of Ukraine, which perform key functions in combating cybercrime, protecting state information resources, and maintaining law and order in the digital environment.

An author's mathematical model for a comprehensive assessment of the effectiveness of intelligent security systems (E _AI) is proposed, which is based on the calculation of an integral indicator. This indicator combines such critical parameters as the accuracy of anomaly detection (Дetection), the speed of automated response (Response), the level of system autonomy (Automation), and resistance to external manipulation or data poisoning (Stability). The scientific and methodological approach to the use of neural network architecture by substantiating the feasibility of combined use of highly specialized and universal models. The results of the calculations and testing demonstrate a significant advantage of specialized models over general-purpose solutions due to their preliminary training on target data sets: international vulnerability registers (CVE) and current samples of malicious code.

The analysis of regulatory support shows that the implementation of such technologies should be strictly based on international standards ISO/IEC 27001:2022 and NIST CSF 2.0. It was determined that a high level of automation of decision-making requires a systematic update of the legislative framework of Ukraine to clearly define the legal status and responsibility for decisions made using artificial intelligence algorithms. Further scientific research should be aimed at developing and implementing closed departmental circuits for the deployment of such models without the risk of leakage of official and confidential information through public cloud services.