Real-Time Privacy and Risk Management in Banking through AI-Enabled Cloud, Embedded Cyber Defense, and SAP Systems
DOI:
https://doi.org/10.15662/IJARCST.2022.0506010Keywords:
AI-Enabled Cybersecurity, Cloud-Native Banking Systems, Embedded Defense Mechanisms, Real-Time Privacy Preservation, Financial Data Protection, Anomaly Detection and Threat Prediction.Abstract
The rapid digital transformation of banking systems has increased the exposure of sensitive financial data to cyber threats, necessitating robust mechanisms for real-time privacy preservation. This paper proposes an AI-enabled cloud and embedded cyber defense framework designed to safeguard banking operations against emerging threats while ensuring compliance with data privacy regulations. Leveraging machine learning and deep learning algorithms, the framework continuously monitors transactional data, detects anomalous patterns, and predicts potential breaches before they escalate. Embedded cybersecurity modules integrated within cloud-native banking architectures provide real-time encryption, secure access control, and automated threat mitigation, ensuring that sensitive customer information remains protected across distributed environments. The proposed system also incorporates dynamic policy enforcement and adaptive response mechanisms, allowing banks to respond instantaneously to evolving cyber threats while maintaining operational efficiency. Experimental evaluation demonstrates significant improvements in threat detection accuracy, response time, and compliance adherence, highlighting the potential of AI-driven embedded cloud solutions in fortifying financial institutions. Challenges such as model explainability, integration complexity, and regulatory validation are discussed, along with recommendations for scalable deployment across heterogeneous banking ecosystems. The results indicate that the integration of AI, cloud infrastructure, and embedded cyber defense modules can transform traditional banking security paradigms into proactive, real-time, and privacy-preserving systems, providing a resilient foundation for modern digital finance
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