The role of Artificial Intelligence in cybersecurity

Swapnil Chawande *

Independent Publisher, USA.
 
Review
World Journal of Advanced Engineering Technology and Sciences, 2024, 11(02), 683-696.
Article DOI: 10.30574/wjaets.2024.11.2.0014
Publication history: 
Received on 10 January 2024; revised on 13 March 2024; accepted on 15 March 2024
 
Abstract: 
AI implementation in cybersecurity frameworks became necessary due to rising cyber threat complexity and frequency that made standard security measures insufficient. This research analyzes how Artificial Intelligence helps security practitioners identify cyber threats at higher velocities and with greater accuracy than standard procedures. The paper studies how machine learning with natural language processing and behavioral analytics transforms cybersecurity systems by detecting irregularities while performing automatic threat defense operations. Through their qualitative research design and three specific real-world examples, including Darktrace, IBM Watson, and Cylance PROTECT, this article validates the extensive positive impact of AI tools on threat intelligence and incident response times within various industries. AI demonstrates its effectiveness through two key outcomes: real-time attack detection, preemptive containment, human analysis workload reduction, and attack response acceleration. Digital infrastructure security finds a future-oriented solution through AI even though limitations related to bias and explainability exist. This research highlights the urgent need to create new AI systems together with moral principles that will establish strong cybersecurity networks.
 
Keywords: 
Cyber Threat; Artificial Intelligence; Machine Learning; Threat Detection; Incident Response; Data Privacy
 
Full text article in PDF: 

Click here

 
Copyright information: 
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0