Secure Generative AI and Deep Learning Models for Enterprise Automation Cloud Reliability Cybersecurity and Intelligent Operational Analytics

Magnus Sahlgren; Magnus Sahlgren

doi:10.15662/IJSRAT.2025.0806012

Secure Generative AI and Deep Learning Models for Enterprise Automation Cloud Reliability Cybersecurity and Intelligent Operational Analytics

Magnus Sahlgren

Abstract

Generative Artificial Intelligence (AI) and deep learning technologies are revolutionizing enterprise automation, cloud reliability management, cybersecurity defense, and intelligent operational analytics. Modern organizations increasingly depend on AI-driven systems to automate workflows, improve operational efficiency, and strengthen security infrastructures. However, the adoption of generative AI introduces significant concerns related to data privacy, adversarial attacks, model manipulation, ethical issues, and operational reliability. This research explores secure generative AI and deep learning models designed to enhance enterprise automation while maintaining cloud reliability, cybersecurity resilience, and intelligent analytics capabilities. The study examines secure AI architectures, federated learning techniques, explainable AI frameworks, and zero-trust security mechanisms integrated within enterprise ecosystems. Additionally, the research investigates the role of AI-powered predictive analytics, anomaly detection systems, and automated cyber defense mechanisms in modern cloud environments. A mixed-methodology approach combining qualitative and quantitative techniques is used to evaluate model performance, scalability, security robustness, and operational efficiency. The findings indicate that secure generative AI systems significantly improve decision-making, automate enterprise processes, enhance cloud service reliability, and strengthen cybersecurity operations. The research contributes toward building secure, scalable, and trustworthy AI-driven enterprise infrastructures capable of supporting intelligent operational analytics and sustainable digital transformation initiatives

Article Information

Journal	International Journal of Science, Research and Technology
Volume (Issue)	Vol. 8 No. 6 (2025): International Journal of Science, Research and Technology (IJSRAT)
DOI	https://doi.org/10.15662/IJSRAT.2025.0806012
Pages	15368-15376
Published	December 12, 2025
Copyright	All rights reserved
Open Access	This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite	Magnus Sahlgren (%2025). Secure Generative AI and Deep Learning Models for Enterprise Automation Cloud Reliability Cybersecurity and Intelligent Operational Analytics. International Journal of Science, Research and Technology , Vol. 8 No. 6 (2025): International Journal of Science, Research and Technology (IJSRAT) , pp. 15368-15376. https://doi.org/10.15662/IJSRAT.2025.0806012

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