Architecting Resilient Cloud-Based Systems: A Development Framework for Financial Risk Management
Keywords:
blockchain integration, AI-enhanced risk assessment, Google Cloud, Microsoft Azure, AWSAbstract
Financial institutions require resilient cloud-based technologies to mitigate risks and ensure business continuity in an era of increased financial instability, cyber threats, and regulatory complexities. Incorporating multi-cloud redundancy, AI-enhanced risk assessment, zero-trust security models, and automated compliance enforcement, this research introduces a robust cloud-based framework for financial risk management. Utilizing AWS, Microsoft Azure, and Google Cloud, the framework was developed and evaluated in a simulated financial environment to evaluate its performance in realistic scenarios. The framework guarantees 100% compliance with financial regulations, improves fraud detection accuracy to 82%, decreases cyber attack vulnerability by 28%, and achieves 99.98% system availability, according to critical findings. Further, it reduces latency by 21% and increases transaction processing capacity by 35%. These results confirm that the implementation of advanced cloud resilience solutions in conjunction with AI and automation significantly improves financial risk management. The research suggests that the proposed framework provides a regulatory-compliant, secure, and scalable solution for financial organizations that are seeking to enhance operational resilience. Strategy for cost minimization in large-scale implementation, blockchain integration, and quantum computing utilization are all areas that require further investigation.
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