Building Resilient Fintech Ecosystems: Integrating Symbiotic AI and Quantum - Adaptive Cryptography
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Informative Article | Risk Management | United States of America | Volume 14 Issue 1, January 2025 | Popularity: 5.6 / 10


     

Building Resilient Fintech Ecosystems: Integrating Symbiotic AI and Quantum - Adaptive Cryptography

Karl Kiam, Arnaud Tsombeng


Abstract: The rapid evolution of financial technology (fintech) has created unprecedented opportunities for financial inclusion, efficiency, and innovation. However, it has also introduced complex, systemic risks that demand a paradigm shift in how financial ecosystems are conceptualized and managed. This paper introduces a revolutionary framework that integrates symbiotic AI, quantum - adaptive cryptography, and complexity theory to build resilient fintech ecosystems. A multi - dimensional risk assessment model is proposed, leveraging fractal risk analysis, predictive resilience indicators, and adaptive ethical AI systems. Through interdisciplinary case studies and novel methodologies, this paper demonstrates how fintech platforms can achieve sustainable growth while addressing emerging challenges such as algorithmic bias, cybersecurity threats, and data sovereignty. The findings call for a holistic, forward - looking approach that balances innovation with accountability, ensuring a resilient financial future for all.


Keywords: fintech, symbiotic AI, quantum cryptography, risk management, ethical AI


Edition: Volume 14 Issue 1, January 2025


Pages: 1202 - 1204


DOI: https://www.doi.org/10.21275/SR25126105749


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Karl Kiam, Arnaud Tsombeng, "Building Resilient Fintech Ecosystems: Integrating Symbiotic AI and Quantum - Adaptive Cryptography", International Journal of Science and Research (IJSR), Volume 14 Issue 1, January 2025, pp. 1202-1204, https://www.ijsr.net/getabstract.php?paperid=SR25126105749, DOI: https://www.doi.org/10.21275/SR25126105749

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