Leveraging business analytics to build cyber resilience in fintech: Integrating AI and governance, risk and compliance (GRC) models

Adetumi Adewumi 1, *, Somto Emmanuel Ewim 2, Ngodoo Joy Sam-Bulya 3 and Olajumoke Bolatito Ajani 4

1 Independent Researcher, Chicago, Illinois, USA.
2 Independent Researcher; Lagos Nigeria.
3 Independent Researcher, Abuja, Nigeria.
4 Newcross Exploration and Production Limited, Nigeria.
 
Review
International Journal of Multidisciplinary Research Updates, 2024, 08(02), 023–032.
Article DOI: 10.53430/ijmru.2024.8.2.0050
Publication history: 
Received on 29 August 2024; revised on 05 October 2024; accepted on 08 October 2024
 
Abstract: 
The rapid evolution of fintech has brought significant advancements in financial services but also increased vulnerability to cyber threats. This review explores how business analytics, artificial intelligence (AI), and Governance, Risk, and Compliance (GRC) models can be leveraged to build cyber resilience in the fintech sector. It begins by discussing the growing cyber threat landscape and how AI-driven solutions and predictive analytics enhance fintech cybersecurity. The paper further examines the integration of GRC frameworks to ensure effective governance, continuous risk monitoring, and compliance with regulatory standards. By synergizing AI, business analytics, and GRC models, fintech companies can strengthen their defenses against evolving cyber risks. The review concludes with recommendations for fintech firms to adopt a proactive, data-driven approach to cybersecurity, promoting long-term sustainability and protection in an increasingly digital financial environment.

 

Keywords: 
Fintech; Cyber resilience; Business analytics; Artificial intelligence (AI); Governance; Risk and Compliance (GRC); Cybersecurity
 
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