Authors :
Chinenye Blessing Onyekaonwu
Volume/Issue :
Volume 10 - 2025, Issue 10 - October
Google Scholar :
https://tinyurl.com/n9k56k3y
Scribd :
https://tinyurl.com/m5adptdh
DOI :
https://doi.org/10.38124/ijisrt/25oct1026
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
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Abstract :
The rapid expansion of digital financial services in Sub-Saharan Africa has created new opportunities for financial
inclusion, but it has also exposed institutions to increasingly sophisticated fraud and money laundering risks. This review
explores the design of resilient anti-fraud architectures tailored to the unique challenges of the region’s financial ecosystem.
By examining technical frameworks such as machine learning–driven anomaly detection, behavioral biometrics, and real-
time transaction monitoring, alongside strategic considerations including regulatory harmonization, data governance, and
cross-border cooperation, the paper highlights best practices for mitigating fraud. The review also analyzes the role of
mobile money platforms, fintech innovations, and regional infrastructure gaps that shape both vulnerabilities and potential
solutions. Emphasis is placed on adaptive system design that balances efficiency with compliance, ensuring scalability and
sustainability within resource-constrained environments. Ultimately, the study provides a comprehensive perspective on
building robust anti-fraud and AML systems that enhance trust, protect consumers, and strengthen financial resilience in
Sub-Saharan Africa’s digital economy.
Keywords :
Anti-Fraud Architecture, Digital Financial Services, Sub-Saharan Africa, AML Systems, Fraud Detection.
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The rapid expansion of digital financial services in Sub-Saharan Africa has created new opportunities for financial
inclusion, but it has also exposed institutions to increasingly sophisticated fraud and money laundering risks. This review
explores the design of resilient anti-fraud architectures tailored to the unique challenges of the region’s financial ecosystem.
By examining technical frameworks such as machine learning–driven anomaly detection, behavioral biometrics, and real-
time transaction monitoring, alongside strategic considerations including regulatory harmonization, data governance, and
cross-border cooperation, the paper highlights best practices for mitigating fraud. The review also analyzes the role of
mobile money platforms, fintech innovations, and regional infrastructure gaps that shape both vulnerabilities and potential
solutions. Emphasis is placed on adaptive system design that balances efficiency with compliance, ensuring scalability and
sustainability within resource-constrained environments. Ultimately, the study provides a comprehensive perspective on
building robust anti-fraud and AML systems that enhance trust, protect consumers, and strengthen financial resilience in
Sub-Saharan Africa’s digital economy.
Keywords :
Anti-Fraud Architecture, Digital Financial Services, Sub-Saharan Africa, AML Systems, Fraud Detection.