Abstract

Legacy systems have provided the backbone for many organizations’ digital operations for years, yet legacy systems lack the ability to be as agile to current cybersecurity challenges. Hybrid cloud environments, mobile workers, and increased sophistication of threat actors present challenges that legacy identity management technologies fail to provide adequate security and regulatory compliance. Organizations are looking for solutions that will evolve with the increasing challenges presented by the digital environment. This paper presents research focused on creating an identity ecosystem capable of adapting to future challenges which are to replace legacy identity management systems. The Identity and Access Management (IAM) system has scalable capabilities, is aligned with regulatory requirements, and includes built-in intelligence to identify and address cyber threats. The IAM system has capabilities such as multiple forms of advanced authentication, real-time monitoring and policy-based controls to ensure all users have secure access across all environments. This allows organizations to better manage their identities, protect sensitive information and respond quickly to potential threats. The overall result is to provide a robust, compliant and intelligent digital identity solution for organizations in a world of rapid change.

Keywords: Identity and Access Management (IAM); Legacy Infrastructure Modernization; Zero Trust Security; Cloud-Based IAM; Automation and Robotic Process Automation (RPA); Artificial Intelligence (AI) and Machine Learning (ML); Governance; Risk; and Compliance (GRC); Privileged Access Management (PAM); Multi-Factor Authentication (MFA); Decentralized Identity (DID) and Blockchain; Policy-Based Access Control (PBAC); Quantum-Resistant Security; Edge and IoT Integration; Identity Intelligence and Trust Scoring

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Citation

Shreekant Rangrej. “Transitioning Legacy Infrastructure into a Future-ready IAM Environment that Enhances Scalability, Compliance, and Intelligence". Clareus Scientific Science and Engineering 2.10 (2025): 02-09.

Copyright

© 2025 Shreekant Rangrej. Licensee Clareus Scientific Publications. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.