2026· EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA· 0 citations
TL;DR
The role of artificial intelligence, innovations, challenges, and prospects for its development in the field of cybersecurity, the advantages and challenges of its implementation, as well as potential opportunities and threats to information security are examined.
Abstract
In the modern digital world, where cyber-attacks are becoming increasingly sophisticated and widespread, the use of artificial intelligence in the field of cybersecurity is extremely relevant. The issue of cybersecurity is gaining more and more importance, and conducting relevant research is a necessary aspect of ensuring security in the digital space. In this regard, we propose an article that examines the role of artificial intelligence, innovations, challenges, and prospects for its development in the field of cybersecurity. The use of artificial intelligence to automate the processes of detecting, analyzing, and responding to cyber threats, as well as its practical significance for increasing the level of security in the digital space and the effectiveness of protection against cyber threats, is also investigated. The leading approaches for this study are trend analysis and expert assessments, which allow for a comprehensive examination of the directions for the development of artificial intelligence in the field of cybersecurity, the advantages and challenges of its implementation, as well as potential opportunities and threats to information security.
Cyberattacks are becoming more frequent and sophisticated in today’s digital world, rendering conventional security measures inadequate. In order to increase the accuracy of cyber threat detection, this study investigates the application of deeplearning methods to increase the accuracy of cyber threat detection. A cybe...
Devyansh Sharma, Inderdeep Kaur, Krishika Gupta et al.· International Conference on...· 0 citations
The duality of artificial intelligence in the forensic process is analyzed, highlighting both its role as a security and efficiency tool for investigations, as well as its potential for risk in the context of cybercrime and ethical and legal challenges, aiming to identify a balance between the advantages of technology...
R. Moisoiu· Development Through Research...· 0 citations
A structured taxonomy is proposed to organize various dimensions of AI-driven cybersecurity; review them critically; and finally, discuss key challenges, open problems, and emerging trends.
The results show that XAI can improve the transparency, trustworthiness and effectiveness of AI-based cybersecurity systems, in addition to highlighting a range of privacy, adversarial robustness, scalability and evaluation challenges that warrant further research to ensure reliable deployment in the real world.
Raman Kumar· International Journal of Adv...· 0 citations
Background: India faced a surge of cyber threats, from their frequency to sophistication, as the growth of Digital Technologies, Cloud Computing, Internet of Things (IoT), Artificial Intelligence (AI), and the rise of online financial services. In this regard, machine learning (ML) is a potential solution that offers i...
Kartikeya Tiwari· International journal of com...· 0 citations
The review finds that artificial intelligence enables proactive threat detection, anomaly identification, and the automation of analysis and response at a scale beyond human capacity, yet its effectiveness is constrained by adversarial machine learning, data quality and drift, false positives, opacity, and the dual use...
N. Hussain· WORLD JOURNAL OF INNOVATION...· 0 citations
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