Advanced network monitoring for AWS cloud workloads: leveraging Extra-Hop Reveal(x) for real-time threat detection

Ravi Chandra Thota *

Independent Researcher, Sterling, Virginia, USA.
 
Research Article
International Journal of Science and Research Archive, 2023, 08(01), 1031-1040.
Article DOI: 10.30574/ijsra.2023.8.1.0184
Publication history: 
Received on 06 January 2023; revised on 16 February 2023; accepted on 18 February 2023
 
Abstract: 
Several organizations now operate AWS cloud workloads thus making it imperative to adopt better network monitoring solutions that detect threats in real time. Current security systems fail to achieve proper visibility across cloud environments with the expansion of evolving cyber threats because they lack the essential features to protect cloud environments. ExtraHop Reveal(X) represents a groundbreaking security solution that powers real-time threat detection through agentless deployment alongside DPI and behavioral analytics driven by AI capabilities. This research evaluates how the ExtraHop Reveal(X) solution improves AWS security by providing enhanced visibility in addition to advanced threat detection along with automated incident management features. This study uses quantitative methods to examine network activity together with security incidents and the operational effectiveness of ExtraHop Reveal(X). Real-time data analytics supplemented by AI-powered detection models were applied to monitor AWS environments to evaluate the performance upgrade in detecting and preventing cyber dangers. The results obtained indicate that ExtraHop Reveal(X) delivers substantial benefits to organizations through its reduced threat detection periods while offering improved monitoring visibility and faster incident response measures in comparison to standard analytic tools. The discussion shows how ExtraHop Reveal(X) delivers complete visibility which enables organizations to find abnormalities in their north-south and east-west network traffic. The system's encryption analysis capability protects privacy standards through undecrypted threat monitoring operations. The analytics functionality on the platform leverages machine learning algorithms to automatically identify complex cyber dangers which reduces staff need for intervention and shortens response intervals.
 
Keywords: 
AWS security; ExtraHop Reveal(X); Network monitoring; Real-time threat detection; Deep packet inspection; AI-driven analytics; Cloud security; Automated incident response
 
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0