Behavioral Identity Fabric for Resilient Cloud Enterprises

Authors

  • Dhanaraj Sathiri Author
    Competing Interests

    AI,ML

Keywords:

Access Control, Authentication, Authorization, Cloud Security, Compliance Management, Decentralized Identity, Federated Identity Management, Identity and Access Management (IAM), Identity Governance, Identity Intelligence, Identity Risk Management, Risk Mitigation, Secure Identity Architecture, Zero Trust Security.

Abstract

— Secure Identity Intelligence Architecture outlines the technical foundations for secure identity intelligence—spanning governance, risk, and compliance—tailored specifically to cloud-distributed enterprises. By synthesizing relevant concepts, architectural patterns, and deployment strategies, this work supports resilient operations across the identity management problem space.

Identity and access management (IAM) governs digital identities within information systems, encompassing responsibility for authentication, authorization, and auditing across business applications. Centralized IAM models simplify deployment and operations but concentrate trust in a single component, creating a potential single point of failure. Decentralized models, by contrast, distribute identity management tasks across multiple identity providers, enabling contextual trust through federation. Several factors inform the choice between these deployment models, working alongside core IAM capabilities: formal policy expression, consolidated risk and compliance management, and risk mitigation through intelligence sharing among stakeholders.

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Additional Files

Published

2023-12-18

Data Availability Statement

None

How to Cite

Behavioral Identity Fabric for Resilient Cloud Enterprises. (2023). Global Research Development(GRD), 1(01). https://grdjournals.org/index.php/grd/article/view/37

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