Modernizing Neuro-Symbolic Artificial Intelligence Driven Serverless Cloud for Financial Data Governance and Compliance Automation
DOI:
https://doi.org/10.15680/IJMRSETM.2026.0207003Keywords:
Neuro-symbolic artificial intelligence, serverless cloud computing, financial data governance, compliance automation, explainable AI, regulatory technology, machine learning, knowledge representation, cloud security, intelligent financial systemsAbstract
The increasing complexity of financial ecosystems, regulatory requirements, and digital transaction environments has created a critical need for intelligent platforms capable of automating data governance and compliance management. Traditional compliance frameworks often rely on manual monitoring, rule-based systems, and centralized data processing approaches, resulting in operational inefficiencies, delayed risk detection, and limited adaptability. Neuro-symbolic artificial intelligence (AI), which combines neural learning capabilities with symbolic reasoning, provides an advanced approach for improving financial intelligence by integrating pattern recognition with explainable decision-making. This research explores the modernization of neuro-symbolic AI-driven serverless cloud platforms for financial data governance and compliance automation. The proposed framework leverages serverless computing scalability, AI-driven analytics, and knowledge-based reasoning to enhance regulatory monitoring, fraud detection, risk assessment, and automated compliance reporting. The study investigates methods for optimizing intelligent data management, policy enforcement, anomaly identification, and explainable AI-based decision support within financial cloud environments. A comprehensive research methodology is developed based on architectural design, simulation-based experimentation, performance evaluation, and comparative analysis. Key evaluation parameters include compliance accuracy, processing efficiency, scalability, explainability, security, and operational cost optimization. The research aims to establish an intelligent financial infrastructure capable of improving governance processes, reducing compliance risks, and enabling adaptive regulatory automation in modern digital banking and financial services environments
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