Next Generation AI Enabled Holistic Cognitive Platform for Secure Cloud Network Intelligence Enterprise Systems and Digital Trust Optimization
DOI:
https://doi.org/10.15680/IJCTECE.2025.0805031Keywords:
Artificial Intelligence, Cognitive Platform, Cloud Network Security, Enterprise Systems, Digital Trust, Machine Learning, Cybersecurity, Predictive Analytics, Intelligent Systems, Data Security, Adaptive Systems, Cloud IntelligenceAbstract
The rapid advancement of artificial intelligence (AI), cloud computing, and distributed enterprise systems has created a complex digital ecosystem requiring advanced security, intelligence, and trust mechanisms. This paper proposes a next-generation AI-enabled holistic cognitive platform designed to integrate secure cloud network intelligence, enterprise system optimization, and digital trust management into a unified architecture. The platform leverages machine learning, cognitive computing, and real-time analytics to deliver adaptive, scalable, and intelligent solutions for modern digital infrastructures. The proposed system enhances cloud network security through proactive threat detection, anomaly analysis, and automated response strategies. It enables enterprise systems to achieve operational efficiency and intelligent decision-making by transforming large-scale data into actionable insights. Additionally, the platform incorporates digital trust optimization mechanisms, including explainable AI, encryption, and decentralized identity frameworks, to ensure transparency, privacy, and accountability. The architecture supports continuous learning and adaptability, allowing it to respond effectively to evolving threats and dynamic environments. Experimental evaluations indicate significant improvements in security performance, system efficiency, and trust assurance compared to traditional approaches. This holistic cognitive platform provides a comprehensive solution for organizations seeking to enhance security, intelligence, and trust in next-generation digital ecosystems.
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