Secure and Composable Digital Transformation Architecture for Banking Healthcare Manufacturing and Smart Infrastructure Using Advanced Machine Learning

Authors

  • Anna Rohrbach Senior Developer, France Author

DOI:

https://doi.org/10.15662/IJARCST.2026.0902001

Keywords:

Composable Architecture, Digital Transformation, Advanced Machine Learning, Zero Trust Security, Microservices Architecture, Hybrid Cloud Infrastructure, DevSecOps Automation, Predictive Analytics, Smart Infrastructure, Enterprise AI Governance, API Security, Cross-Domain Interoperability

Abstract

Digital transformation across banking, healthcare, manufacturing, and smart infrastructure demands secure, scalable, and adaptable architectures capable of handling complex workflows, high data volumes, and strict regulatory requirements. Traditional monolithic enterprise systems lack flexibility and resilience against modern cyber threats and operational disruptions. This paper proposes a Secure and Composable Digital Transformation Architecture that integrates advanced machine learning, modular microservices, zero-trust security principles, and hybrid cloud infrastructure. The framework emphasizes composability through reusable digital services, API-driven ecosystems, container orchestration, and policy-based governance. Advanced machine learning models enable predictive analytics, anomaly detection, fraud prevention, medical diagnostics support, predictive maintenance, and infrastructure optimization. Security mechanisms include identity-centric access control, encryption, behavioral analytics, and automated DevSecOps governance. The architecture supports cross-domain interoperability while maintaining compliance with industry regulations. Experimental modeling demonstrates improvements in operational agility, security posture, predictive accuracy, and system scalability. The proposed framework provides a unified digital transformation roadmap enabling sector-specific customization while preserving architectural consistency. This research contributes a comprehensive model for building secure, intelligent, and composable enterprise ecosystems in highly regulated and data-intensive industries.

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Published

2026-03-05

How to Cite

Secure and Composable Digital Transformation Architecture for Banking Healthcare Manufacturing and Smart Infrastructure Using Advanced Machine Learning. (2026). International Journal of Advanced Research in Computer Science & Technology(IJARCST), 9(2), 400-408. https://doi.org/10.15662/IJARCST.2026.0902001