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The rapid evolution of financial technologies (Fintech) has brought about transformative opportunities for financial inclusion, innovation, and economic growth. However, these advancements have also led to a significant rise in cybersecurity threats, creating vulnerabilities that undermine stakeholder trust and organizational stability. Existing cybersecurity frameworks often lack the adaptability and robustness required to address the dynamic nature of threats within the Fintech ecosystem. This doctoral research addresses this critical gap by developing a novel dynamic security model tailored specifically for the Fintech ecosystem. The research employed a design science research methodology to systematically investigate and answer key research questions. Preliminary investigations identified critical security components essential for mitigating risks, preventing vulnerabilities, and ensuring real-time threat detection and response. These components include Identity and Access Management, Automation and Orchestration, Continuous Diagnostics and Mitigation, Risk Assessment, Policy Enforcement, and User Training and Awareness. Building on these insights, a generic dynamic security model was proposed, emphasizing adaptive mechanisms that enable continuous monitoring, flexible policy enforcement, and proactive threat intelligence integration. A prototyped proof of concept was developed and iteratively refined to demonstrate the practical application of the proposed model. Validation exercises were conducted using qualitative and quantitative data from industry experts and stakeholders within the Fintech ecosystem. Respondents provided comprehensive insights into current challenges, the effectiveness of proposed mechanisms, and the practical implications of the dynamic model in real-world scenarios. This study’s originality lies in the development of a dynamic, adaptable security framework specifically for Fintech organizations, offering both theoretical and practical contributions to cybersecurity research. 5 The study's findings reveal that the adoption of the dynamic security model significantly enhances the ability of Fintech organizations to respond to evolving cybersecurity threats. By embedding adaptive and real-time security mechanisms throughout the Fintech value chain, organizations can achieve a marked reduction in vulnerabilities and an improvement in overall system resilience. The research concludes that the model is a viable solution for improving Fintech cybersecurity, ultimately fostering trust, operational efficiency, and sustainable growth in the sector.