ISSN: 2582-8266 (Online) || ISSN Approved Journal || Google Scholar Indexed || Impact Factor: 9.48 || Crossref DOI
AI-powered threat detection in modern cybersecurity systems: Enhancing real-time response in enterprise environments
Independent Researcher, Bangladesh.
Review
World Journal of Advanced Engineering Technology and Sciences, 2022, 06(02), 136-146.
Article DOI: 10.30574/wjaets.2022.6.2.0079
Publication history:
Received on 27 April 2022; revised on 28 May 2022; accepted on 30 May 2022
Abstract:
The rising complexity of cyber threats demands enhanced security systems to protect computer networks. Traditional detection methods like signature-based systems cannot handle the sophisticated security attacks in the modern landscape. Artificial intelligence (AI) serves as a transforming technology that helps detect threats together with their real-time response mechanisms. The research evaluates AI technology as it improves cybersecurity elements by studying its deployment within enterprise security systems. Machine learning, deep learning, and natural language processing functions in AI technologies create autonomous systems that proactively identify security threats to prevent them. Problem prevention systems that use AI capabilities enable threat detection through pattern recognition, recasting, and time, as well as reduction in response. The research explains the benefits alongside technological difficulties and practical implementations of artificial intelligence for threat monitoring within contemporary cybersecurity designs.
Keywords:
Artificial Intelligence; Cybersecurity Systems; Threat Detection; Machine Learning; Predictive Analytics; Endpoint Protection
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Copyright © 2022 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0