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Secure Cloud Native Enterprise Platforms for Predictive Observability Regulatory Compliance and Intelligent Business Automation

Chema Alonso

Chief Digital Consumer Officer, Telefonica, Spain

Abstract

Secure cloud-native enterprise platforms have become essential for organizations seeking scalable, resilient, and intelligent digital ecosystems. The integration of cloud-native architectures, predictive observability, regulatory compliance frameworks, and intelligent business automation enables enterprises to improve operational efficiency, security posture, and decision-making capabilities. This research explores a secure cloud-native platform model that combines containerized infrastructure, artificial intelligence (AI), machine learning (ML), automated monitoring, compliance governance, and intelligent workflow automation. Predictive observability enhances traditional monitoring approaches by using advanced analytics to identify anomalies, forecast system failures, and optimize enterprise operations proactively. Regulatory compliance mechanisms ensure that cloud platforms maintain data protection, governance, auditing, and industry-specific security requirements. Intelligent business automation leverages AI-driven workflows, robotic process automation, and predictive analytics to streamline business processes and improve productivity. The proposed approach addresses critical enterprise challenges including cybersecurity threats, complex regulatory environments, operational disruptions, and inefficient manual processes. By integrating security-by-design principles, cloud-native technologies, and AI capabilities, organizations can develop adaptive platforms capable of supporting continuous innovation. The research demonstrates that secure cloud-native enterprise platforms provide a foundation for achieving digital transformation, operational resilience, and sustainable business growth in modern technology-driven environments.

Article Information

Journal

International Journal of Science, Research and Technology

Volume (Issue)

Vol. 4 No. 5 (2021): International Journal of Science, Research and Technology (IJSRAT)

DOI

https://doi.org/10.15662/IJSRAT.2021.0405002

Pages

6448-6457

Published

October 8, 2021
Copyright

Open Access

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

How to Cite

Chema Alonso (%2021). Secure Cloud Native Enterprise Platforms for Predictive Observability Regulatory Compliance and Intelligent Business Automation. International Journal of Science, Research and Technology , Vol. 4 No. 5 (2021): International Journal of Science, Research and Technology (IJSRAT) , pp. 6448-6457. https://doi.org/10.15662/IJSRAT.2021.0405002

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