Combined Hyper-Extensible Extremely-Secured Zero-Trust CIAM-PAM architecture

TL;DR

The paper proposes the CHEZ CIAM-PAM architecture, a comprehensive zero-trust security framework for large-scale enterprises that integrates advanced authentication, microservices, and AI threat detection to enhance security and compliance.

Contribution

It introduces the CHEZ architecture, combining multiple security layers and adaptive features to address complex enterprise CIAM security challenges innovatively.

Findings

Enhanced security through multi-layer RBAC and multi-level trust systems

Seamless integration with AI-based threat detection

Supports password-less authentication and federated identity management

Abstract

Customer Identity and Access Management (CIAM) systems play a pivotal role in securing enterprise infrastructures. However, the complexity of implementing these systems requires careful architectural planning to ensure positive Return on Investment (RoI) and avoid costly delays. The proliferation of Active Persistent cyber threats, coupled with advancements in AI, cloud computing, and geographically distributed customer populations, necessitates a paradigm shift towards adaptive and zero-trust security frameworks. This paper introduces the Combined Hyper-Extensible Extremely-Secured Zero-Trust (CHEZ) CIAM-PAM architecture, designed specifically for large-scale enterprises. The CHEZ PL CIAM-PAM framework addresses critical security gaps by integrating federated identity management (private and public identities), password-less authentication, adaptive multi-factor authentication (MFA), microservice-based PEP (Policy Entitlement Point), multi-layer RBAC (Role Based Access Control) and multi-level trust systems. This future-proof design also includes end-to-end data encryption, and seamless integration with state-of-the-art AI-based threat detection systems, while ensuring compliance with stringent regulatory standards.