Designing Enterprise Cloud Intelligence using Generative Artificial Intelligence Secure Data Engineering with Zero Trust Architecture
DOI:
https://doi.org/10.15662/IJARCST.2024.0701007Keywords:
Generative Artificial Intelligence, enterprise cloud intelligence, secure data engineering, Zero Trust Architecture, cloud security, artificial intelligence governance, data privacy, machine learning operations, cloud-native platforms, identity management, cybersecurity, intelligent analyticsAbstract
The increasing complexity of enterprise digital ecosystems has created a demand for intelligent, secure, and scalable approaches to managing cloud-based data platforms. Traditional enterprise architectures face significant challenges in handling massive data volumes, evolving cyber threats, distributed computing environments, and increasingly sophisticated business requirements. The integration of Generative Artificial Intelligence (Generative AI), secure data engineering practices, and Zero Trust Architecture provides a transformative approach for designing resilient cloud intelligence platforms. Generative AI enables advanced capabilities such as automated data analysis, intelligent decision support, natural language interaction, and adaptive knowledge discovery, while secure data engineering ensures the reliability, privacy, and integrity of enterprise information assets. Zero Trust Architecture strengthens cloud security by enforcing continuous verification, identity-based access control, least-privilege principles, and continuous monitoring across all users, devices, applications, and workloads. This research explores the design principles and implementation strategies required to develop enterprise cloud intelligence platforms that combine AI-driven analytics with secure data management and zero trust security frameworks. The study examines architectural components, security mechanisms, AI governance requirements, and operational practices necessary for building scalable and trustworthy cloud environments. The proposed approach demonstrates how organizations can leverage Generative AI and secure engineering methodologies to improve business intelligence, enhance cybersecurity resilience, and achieve sustainable digital transformation
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