International Journal For Multidisciplinary Research

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Future-Proofing Enterprise Security: Transitioning Legacy Authentication to Modern IAM

Author(s) Mahendra Krishnapatnam
Country United States
Abstract As enterprises undergo digital transformation, legacy authentication systems pose significant security and operational challenges. These outdated authentication mechanisms lack adaptive security controls, multi-factor authentication (MFA), and compliance readiness, making them vulnerable to credential-based attacks, unauthorized access, and identity fraud. With the rise of Zero Trust security models, AI-driven authentication, and passwordless authentication, organizations must transition to modern Identity and Access Management (IAM) frameworks to enhance security, scalability, and compliance.
This paper explores the risks associated with legacy authentication systems, evaluates modern IAM solutions, and presents a strategic migration roadmap. It examines key authentication standards such as OAuth 2.0, OpenID Connect (OIDC), Security Assertion Markup Language (SAML), Fast Identity Online (FIDO2), and risk-based adaptive authentication. A case study highlights the successful migration of a global enterprise from outdated IAM protocols to modern authentication standards, demonstrating improved security posture, reduced attack surface, streamlined user experience, and compliance with frameworks such as NIST, GDPR, HIPAA. The study concludes with recommendations for futureproofing IAM strategies using AI-driven identity governance, continuous authentication, and Zero Trust principles.
Keywords Legacy Authentication, IAM Migration, Multi-Factor Authentication, Zero Trust Security, OAuth 2.0, SAML, Adaptive Authentication, Enterprise Security, Identity Governance, OpenID Connect
Field Computer > Network / Security
Published In Volume 7, Issue 1, January-February 2025
Published On 2025-02-18
Cite This Future-Proofing Enterprise Security: Transitioning Legacy Authentication to Modern IAM - Mahendra Krishnapatnam - IJFMR Volume 7, Issue 1, January-February 2025. DOI 10.36948/ijfmr.2025.v07i01.37184
DOI https://doi.org/10.36948/ijfmr.2025.v07i01.37184
Short DOI https://doi.org/g85svf
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