Next Generation Intelligent Enterprise Framework Integrating Generative AI IoT Analytics Predictive Security and Scalable Hybrid Cloud Infrastructure
DOI:
https://doi.org/10.15662/IJRAI.2026.0901013Keywords:
Generative AI, IoT Analytics, Predictive Security, Hybrid Cloud Architecture, Enterprise AI Framework, Edge Computing, Autonomous Systems, DevSecOps Automation, Microservices Architecture, AI Governance, Digital Transformation, Smart Enterprise SystemsAbstract
The rapid convergence of Artificial Intelligence, Internet of Things (IoT), and hybrid cloud computing is redefining enterprise digital transformation. Modern enterprises require intelligent, scalable, and secure frameworks capable of processing massive real-time data streams while ensuring predictive threat mitigation and operational efficiency. This paper proposes a Next Generation Intelligent Enterprise Framework integrating Generative AI, IoT Analytics, Predictive Security, and Scalable Hybrid Cloud Infrastructure. The framework leverages Generative AI models for automated decision support, content synthesis, anomaly explanation, and adaptive business workflows. IoT analytics enables real-time data acquisition, edge processing, and predictive maintenance across distributed environments. Predictive security mechanisms employ machine learning for proactive threat detection, risk scoring, and automated response orchestration. Hybrid cloud infrastructure ensures elastic scalability, workload portability, and regulatory compliance across on-premise and public cloud environments. The proposed architecture introduces multi-layered intelligence, secure data pipelines, containerized microservices, and automated DevSecOps governance. Experimental modeling demonstrates improved operational resilience, reduced downtime, enhanced predictive accuracy, and optimized resource utilization. This research contributes a comprehensive architectural model and implementation methodology for enterprises transitioning toward AI-driven autonomous ecosystems.
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