Cyber-Resilient AI-Driven Enterprise Cloud Framework for Financial Healthcare Analytics Regulatory Compliance and Automation
DOI:
https://doi.org/10.15680/IJCTECE.2025.0806030Keywords:
Cyber resilient AI driven enterprise cloud framework, financial systems security, healthcare analytics platforms, regulatory compliance in cloud computing, intelligent automation systems, AI powered cybersecurity, enterprise cloud architecture, zero trust security framework, predictive threat intelligence, automated incident response, secure data governance, resilient digital infrastructureAbstract
The convergence of cloud computing, artificial intelligence, and enterprise digital transformation has created unprecedented opportunities for enhancing operational efficiency, security, and data-driven decision-making. Enterprises in sensitive sectors such as finance and healthcare face increasing demands for secure, scalable, and compliant cloud infrastructures. Traditional enterprise systems often struggle to provide resilience against cyber threats, ensure regulatory compliance, and enable intelligent automation at scale.
This research proposes a cyber-resilient AI-driven enterprise cloud framework designed to integrate financial systems, healthcare analytics platforms, regulatory compliance mechanisms, and intelligent automation processes. The proposed framework leverages artificial intelligence for predictive threat detection, anomaly detection, and automated decision-making, while cloud-native technologies provide scalability, fault tolerance, and high availability. Advanced security measures, including identity management, encryption, and AI-enabled intrusion detection, are embedded within the cloud infrastructure to ensure resilience against cyber threats.
The framework also incorporates intelligent automation workflows that optimize business processes, enforce compliance policies, and support autonomous infrastructure management. By combining AI-driven analytics with secure cloud architectures and regulatory-aware design, the framework enhances operational efficiency, data security, and organizational resilience. The study provides architectural design principles, system integration strategies, and evaluation methods for implementing AI-enabled, cyber-resilient enterprise cloud systems capable of supporting modern financial, healthcare, and regulatory requirements.
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