Development of AI-Enhanced Intrusion Detection Systems for Securing Cloud-Native Distributed Architectures
Keywords:
Cloud-native, Intrusion Detection System, Artificial Intelligence, Cybersecurity, Microservices, Anomaly Detection, ContainersAbstract
This paper introduces an AI-driven framework for dynamic pricing of loan and credit products, tailored for real-time optimization in consumer-facing FinTech platforms. Traditional pricing mechanisms in lending lack responsiveness to market volatility, consumer behavior, and credit risk evolution. Our model integrates reinforcement learning, demand forecasting, and customer segmentation to dynamically adjust credit pricing at scale. Simulation results indicate improved loan approval efficiency, reduced default rates, and increased profitability through adaptive rate personalization.
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Copyright (c) 2023 George Louisa May (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
