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Scalable and Secure AI Infrastructure for High-Impact Industries

Year: 2025

Type: article

Abstract: As industries increasingly adopt AI-driven solutions, scalable and secure infrastructures become essential to manage data-intensive operations. This paper presents a modular design for scalable AI infrastructure that integrates advanced security protocols with cloud-native technologies. The proposed architecture ensures data integrity, protects sensitive information, and adapts to evolving workload demands. Applications in healthcare and finance are analyzed to demonstrate the model's versatility, highlighting improvements in scalability, reliability, and compliance. This framework serves as a blueprint for deploying secure AI systems in high-stakes industries.

Source: Journal of Information Systems Engineering & Management

DOI: 10.52783/jisem.v10i23s.3769

Author: Srinivasa Subramanyam Katreddy

Language: English

Topic: Cloud Computing and Resource Management

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4408840246

FWCI:

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