Zero-Trust Cloud Security Engineering Through Enterprise Behavioral Analytics and Identity Verification Frameworks

Authors

  • Cormac J. Sreenan School of Computer Science and Information Technology, University College Cork, Cork, Ireland Author

DOI:

https://doi.org/10.66592/03.02.41

Abstract

The increasing adoption of cloud computing, hybrid infrastructures, remote working environments, and distributed enterprise applications has introduced significant cybersecurity challenges related to identity management, unauthorized access, insider threats, and data protection. Traditional perimeter-based security architectures are insufficient for protecting modern cloud environments because users, devices, and applications frequently access organizational resources across multiple networks and locations. Zero-Trust Security has emerged as an advanced cybersecurity approach based on the principle of never trusting any user or device automatically and continuously verifying every access request. This research proposes a Zero-Trust Cloud Security Engineering framework integrating Enterprise Behavioral Analytics and advanced Identity Verification mechanisms to strengthen cloud infrastructure protection. The proposed framework combines multi-factor authentication, identity and access management, behavioral anomaly detection, continuous authentication, contextual access control, and risk-based authorization. Machine learning algorithms analyze user activities, access patterns, device characteristics, login locations, and resource utilization to identify suspicious behavioral deviations. Enterprise behavioral analytics enhances threat detection by identifying compromised accounts, insider threats, privilege misuse, and abnormal access activities. Furthermore, identity verification frameworks provide continuous authentication and dynamic authorization based on contextual risk assessments. The research emphasizes automated policy enforcement, least-privilege access, continuous monitoring, and adaptive security responses. The proposed approach aims to improve identity assurance, reduce unauthorized cloud access, strengthen enterprise data protection, and establish a scalable security architecture for modern cloud-based organizational environments.

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Published

2026-09-25