Combined hyper-extensible extremely-secured zero-trust CIAM-PAM Architecture: A Modern Framework for Enterprise Identity Management

The Combined Hyper-Extensible Extremely-Secured Zero-Trust CIAM-PAM Architecture (CHEZ) represents a transformative framework for enterprise identity management, integrating Customer Identity and Access Management with Privileged Access Management under a unified zero-trust model. This architecture addresses the critical challenge of disconnected identity systems that create security vulnerabilities in traditional environments by implementing a comprehensive approach spanning federated identity management, advanced authentication mechanisms, microservice-based policy enforcement, and multi-layer role-based access control. The paradigm shift from perimeter-based to identity-centric security models embodied by CHEZ responds to emerging challenges including proliferating API integrations, expanding IoT ecosystems, and increasingly sophisticated identity-based attacks. Through continuous verification, least-privilege access enforcement, and AI-driven threat detection, the architecture delivers substantial security improvements while enhancing user experience. The compliance-by-design approach enables organizations to simultaneously address multiple regulatory frameworks across jurisdictions, making CHEZ particularly valuable in highly regulated industries including financial services, healthcare, and e-commerce. The architecture's scalable, distributed nature supports both cloud-native and hybrid deployment models, providing flexibility for organizations at various stages of digital transformation while delivering measurable benefits in security posture, operational efficiency, and user satisfaction.

Authors

Publication Details

Journal
World Journal of Advanced Research and Reviews
Published
2025-06-06
DOI
https://doi.org/10.30574/wjarr.2025.26.3.2142
Citations
1
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
2.48
Controls
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article

Combined hyper-extensible extremely-secured zero-trust CIAM-PAM Architecture: A Modern Framework for Enterprise Identity Management

Sai Vaishnavi Anantula
1 citations
World Journal of Advanced Research and Reviews
Cryptography and Data Security
2.48
article

Combined hyper-extensible extremely-secured zero-trust CIAM-PAM Architecture: A Modern Framework for Enterprise Identity Management

Sai Vaishnavi Anantula
article en
1 citations

Abstract

The Combined Hyper-Extensible Extremely-Secured Zero-Trust CIAM-PAM Architecture (CHEZ) represents a transformative framework for enterprise identity management, integrating Customer Identity and Access Management with Privileged Access Management under a unified zero-trust model. This architecture addresses the critical challenge of disconnected identity systems that create security vulnerabilities in traditional environments by implementing a comprehensive approach spanning federated identity management, advanced authentication mechanisms, microservice-based policy enforcement, and multi-layer role-based access control. The paradigm shift from perimeter-based to identity-centric security models embodied by CHEZ responds to emerging challenges including proliferating API integrations, expanding IoT ecosystems, and increasingly sophisticated identity-based attacks. Through continuous verification, least-privilege access enforcement, and AI-driven threat detection, the architecture delivers substantial security improvements while enhancing user experience. The compliance-by-design approach enables organizations to simultaneously address multiple regulatory frameworks across jurisdictions, making CHEZ particularly valuable in highly regulated industries including financial services, healthcare, and e-commerce. The architecture's scalable, distributed nature supports both cloud-native and hybrid deployment models, providing flexibility for organizations at various stages of digital transformation while delivering measurable benefits in security posture, operational efficiency, and user satisfaction.

World Journal of Advanced Research and ReviewsVol. 26(3)
Openalex Percentile: Top 10%
Cryptography and Data Security
2.48
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