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AI Driven Enterprise Platforms Integrating API First Architecture Cloud Native DevOps and Network Security

Antonio Brogi

Abstract

AI-driven enterprise platforms are increasingly transforming how organizations design, deploy, and secure large-scale digital systems in highly distributed and dynamic environments. This paper presents a comprehensive architectural framework that integrates API-first design principles with cloud-native DevOps practices and advanced network security to enable scalable, resilient, and intelligent enterprise platforms. The proposed approach emphasizes APIs as the foundational abstraction layer, enabling seamless interoperability across heterogeneous enterprise applications, third-party ecosystems, and multi-cloud infrastructures. Cloud-native DevOps practices, including containerization, microservices, infrastructure as code, and automated CI/CD pipelines, are leveraged to accelerate application delivery, improve system reliability, and support continuous innovation. 

Artificial intelligence is embedded across the platform lifecycle to enhance operational intelligence, automate decision-making, and optimize system performance. AI-driven analytics support predictive monitoring, anomaly detection, and intelligent orchestration of workloads across distributed environments. Machine learning models are integrated into DevOps pipelines to enable adaptive scaling, automated testing, and proactive fault remediation. From a security perspective, the framework adopts a zero-trust and security-by-design philosophy, incorporating network segmentation, identity-aware access control, continuous threat detection, and automated security validation within the delivery pipeline. 

The integration of network security with DevOps automation ensures that security controls evolve alongside applications, reducing exposure to emerging cyber threats and minimizing operational risk. By unifying API-first architecture, AI-enabled DevOps automation, and robust network security, the proposed platform supports enterprise agility, governance, and compliance while maintaining high performance and availability. This integrated approach provides a scalable foundation for modern enterprises seeking to build intelligent, secure, and future-ready digital platforms capable of supporting complex business ecosystems and real-time operational demands

Article Information

Journal

International Journal of Science, Research and Technology

Volume (Issue)

Vol. 6 No. 5 (2023): International Journal of Science, Research and Technology (IJSRAT)

DOI

https://doi.org/10.15662/IJSRAT.2023.0605002

Pages

10643-10651

Published

October 10, 2023
Copyright

Open Access

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Antonio Brogi (%2023). AI Driven Enterprise Platforms Integrating API First Architecture Cloud Native DevOps and Network Security. International Journal of Science, Research and Technology , Vol. 6 No. 5 (2023): International Journal of Science, Research and Technology (IJSRAT) , pp. 10643-10651. https://doi.org/10.15662/IJSRAT.2023.0605002

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