Advanced Unified AI Cognitive Ecosystem for Adaptive Cloud Network Security Intelligent Enterprise Transformation and Self Healing Data Infrastructure
DOI:
https://doi.org/10.15662/IJEETR.2025.0706041Keywords:
Artificial Intelligence, Cognitive Ecosystem, Cloud Security, Adaptive Infrastructure, Self-Healing Systems, Enterprise Transformation, Data Infrastructure, Machine Learning, Predictive Analytics, Intelligent Systems, AutomationAbstract
The rapid growth of cloud computing and digital transformation has significantly increased the complexity of enterprise systems, necessitating advanced solutions for security, optimization, and resilience. This paper proposes an advanced unified AI cognitive ecosystem designed to enhance adaptive cloud network security, enable intelligent enterprise transformation, and support self-healing data infrastructure. The proposed ecosystem integrates artificial intelligence, machine learning, cognitive analytics, and automation into a cohesive architecture capable of real-time monitoring, predictive analysis, and autonomous decision-making. By leveraging anomaly detection and behavioral analytics, the system can proactively identify security threats and operational inefficiencies. The self-healing capability enables automatic fault detection, diagnosis, and recovery, ensuring continuous availability and system reliability. Furthermore, the ecosystem facilitates intelligent enterprise transformation by optimizing business processes, improving resource utilization, and enabling data-driven decision-making. Adaptive mechanisms allow the system to respond dynamically to changing environments and threat landscapes. While the framework offers substantial benefits, challenges such as data privacy, integration complexity, and computational overhead remain. This research provides a comprehensive model for developing secure, intelligent, and resilient cloud-based enterprise systems.
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