Securing Cloud Native Enterprise Platforms using AIOps and Artificial Intelligence Driven Autonomous Observability
DOI:
https://doi.org/10.15662/IJEETR.2024.0605022Keywords:
Cloud-native security, AIOps, Artificial Intelligence, Autonomous Observability, Kubernetes, Microservices, Enterprise Platforms, Cybersecurity, Machine Learning, Predictive Analytics, Intelligent Automation, DevSecOpsAbstract
Cloud-native enterprise platforms have transformed modern digital infrastructure by enabling organizations to achieve scalability, resilience, flexibility, and continuous service delivery through technologies such as containers, Kubernetes, microservices, and serverless computing. However, the distributed and dynamic nature of these environments introduces significant security, operational, and monitoring challenges that traditional management approaches struggle to address. Artificial Intelligence for IT Operations (AIOps) combined with Artificial Intelligence-driven autonomous observability offers an innovative solution for improving security, operational efficiency, and system reliability. By integrating machine learning, predictive analytics, anomaly detection, automated root cause analysis, and intelligent incident response, organizations can proactively identify threats, minimize downtime, and enhance system resilience. Autonomous observability continuously analyzes logs, metrics, traces, and events to generate real-time insights without requiring extensive human intervention. This study explores the role of AIOps and autonomous observability in securing cloud-native enterprise platforms while improving operational intelligence and cyber resilience. The research discusses existing technological developments, implementation strategies, and the integration of artificial intelligence into enterprise security operations. It further examines how intelligent automation reduces operational complexity, accelerates threat detection, supports compliance, and enables self-healing infrastructures. The findings emphasize that AI-driven observability significantly strengthens enterprise cybersecurity by enabling predictive monitoring, adaptive security management, and continuous optimization of cloud-native environments
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