AI-Driven Zero Trust Security Framework for Secure Banking Transactions in Multi-Cloud Environments

This paper presented an AI-Driven Zero Trust Security Framework for secure banking transactions in multi-cloud environments. The proposed framework integrates continuous verification, behavioral analytics, machine learning-based anomaly detection, and adaptive policy enforcement. Experimental analysis demonstrated superior performance compared with traditional security models. Future work will focus on federated learning, blockchain-based audit trails, and post-quantum cryptographic integration for next-generation banking security.  

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