Authors : Ahmed Ali Alsiwar

Volume/Issue : Volume 10 - 2025, Issue 11 - November

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Google Scholar : https://tinyurl.com/mw4ht6b5

Scribd : https://tinyurl.com/38xvjck2

DOI : https://doi.org/10.38124/ijisrt/25nov1288

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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Abstract : Unauthorized access is a critical threat to enterprise networks, leading to data breaches, financial losses, and reputational damage. Traditional access control methods, including passwords and manual monitoring, are increasingly insufficient against sophisticated attacks. This article explores the role of Artificial Intelligence (AI) in preventing and managing unauthorized access. It examines AI-driven behavioral analytics, anomaly detection, adaptive authentication, and real-time threat response. Additionally, it provides practical strategies to avoid unauthorized access and highlights why professionals and enthusiasts are increasingly interested in this field.

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