AI Powered Holistic Cognitive Ecosystem for Intelligent Cloud Network Security Self Healing Enterprise Systems and Adaptive Digital Infrastructure
DOI:
https://doi.org/10.15662/IJEETR.2024.0605019Keywords:
Artificial Intelligence, Cloud Security, Cognitive Computing, Self-Healing Systems, Adaptive Infrastructure, Machine Learning, Cybersecurity Automation, Predictive Analytics, Intelligent Networks, Digital TransformationAbstract
The rapid evolution of cloud computing and digital transformation has introduced unprecedented complexity in enterprise IT ecosystems, making traditional security and infrastructure management approaches inadequate. This paper proposes an AI-powered holistic cognitive ecosystem designed to enhance intelligent cloud network security, enable self-healing enterprise systems, and support adaptive digital infrastructure. The framework integrates artificial intelligence, machine learning, cognitive computing, and automation to create a dynamic, context-aware environment capable of detecting, analyzing, and mitigating cyber threats in real time. By leveraging predictive analytics, anomaly detection, and autonomous response mechanisms, the system ensures resilience, scalability, and continuous availability of enterprise services. Additionally, the ecosystem incorporates feedback loops and learning models that evolve with emerging threats and operational patterns. The concept of self-healing systems is emphasized, where infrastructure can autonomously diagnose and resolve faults without human intervention. This research highlights the architecture, components, and operational workflow of such an ecosystem while addressing challenges such as data privacy, model bias, and computational overhead. The proposed solution aims to transform traditional reactive security models into proactive, intelligent, and adaptive frameworks suitable for modern digital enterprises.
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