As mobile money and digital banking become the backbone of Ghana’s financial system, finance and banking expert Dr. Richmond Atuahene is calling for a radical overhaul of how banks, fintech firms, and mobile network operators combat this fraud crisis.
Dr. Atuahene is warning that digital fraud is evolving faster than traditional security controls. He argues that the future of fraud prevention lies not merely in expanding access to financial services but in building resilience through advanced technology, stronger identity verification, real-time intelligence, and deeper collaboration across the financial ecosystem.
In a policy paper on combating mobile money and digital fraud, he outlines six strategic recommendations that he believes could significantly reduce financial crime, strengthen consumer trust, and safeguard Ghana’s digital financial future.
According to Dr. Atuahene, the rapid growth of mobile money and digital banking has made millions of Ghanaians dependent on digital channels as their primary interface with the financial system. However, every successful scam chips away at public confidence.
He notes that protecting customers from fraud is no longer simply a compliance obligation but a strategic necessity for sustaining financial inclusion and digital adoption.
2. Identity Assurance at Onboarding
Dr. Atuahene believes fraud prevention must begin at the onboarding stage. He recommends that every mobile wallet and digital account be linked to a verified identity through real-time validation with government databases such as the National Identification system.
Banks and mobile money operators should also deploy biometric liveness verification technologies that compare a customer’s selfie with official identification records, making it difficult for criminals to create fake accounts using stolen identities, forged documents, or AI-generated deepfakes.
The objective, he says, is to stop fraudsters before they enter the financial system.
2. Deploy Real-Time Risk Scoring for Every Transaction
One of the most significant recommendations is the adoption of real-time transaction risk scoring. Under this model, every transaction would be assessed within milliseconds before completion.
Artificial intelligence systems would analyze factors such as the customer’s normal spending behaviour; Device and location changes; Recent SIM swaps; Transaction size relative to account history; and Unusual transaction patterns.
Transactions deemed high-risk could be blocked automatically or subjected to additional verification before funds are released. Dr. Atuahene argues that such systems would allow institutions to stop fraudulent transactions before losses occur rather than investigating them afterward.
3. Integrate SIM-Swap Detection into Payment Systems
Given the growing threat posed by SIM-swap fraud, Dr. Atuahene recommends direct integration between banks and mobile network operators. Before large-value transactions are approved, financial institutions should automatically verify whether the customer’s SIM card has recently been replaced.
If a SIM swap occurred within the previous 24 to 48 hours, the transaction should be flagged, delayed, or subjected to enhanced authentication checks.
Such integration, he notes, could significantly reduce one of Ghana’s most damaging forms of digital fraud.
4. Monitor Mobile Money Agents Using AI and Network Analytics
Mobile money agents remain one of the most critical links in Ghana’s digital payment ecosystem. However, they also represent a significant fraud risk. To address this, Dr. Atuahene recommends the deployment of advanced anomaly detection systems that continuously monitor agent activities.
These systems would identify:
* Unusual withdrawal patterns;
* Excessive transaction reversals;
* Abnormal cash-out volumes;
* Suspicious networks of agents operating in collusion.
By analysing transaction behaviour across agent networks, operators would be able to identify fraudulent schemes before they become widespread.
5. Build Centralized Fraud Case Management Systems
Dr. Atuahene is also advocating for comprehensive fraud case management platforms capable of tracking every fraud alert from detection through investigation and regulatory reporting.
Such systems would maintain digital audit trails; track evidence and investigations; automatically generate Suspicious Transaction Reports (STRs); and ensure compliance with Bank of Ghana reporting requirements.
Beyond improving operational efficiency, centralized case management would enhance accountability and strengthen regulatory oversight across the financial sector.
6. Make Artificial Intelligence the Frontline Defence Against Fraud
Perhaps Dr. Atuahene’s most far-reaching recommendation is the widespread adoption of Artificial Intelligence across both banking and telecommunications sectors. He argues that fraudsters themselves are increasingly using sophisticated technologies, making traditional rule-based security systems inadequate.
Modern AI systems can continuously analyse massive volumes of structured and unstructured data, identifying subtle patterns that humans and conventional systems often miss.
These technologies can:
Detect Fraud Before Transactions Are Completed
AI-powered engines can evaluate thousands of data points in real time, assigning risk scores and blocking suspicious transactions before funds leave an account.
Understand Customers’ Digital Behaviour
Machine learning models can monitor behavioural indicators such as typing patterns, mobile app navigation, device usage, and transaction habits to establish a baseline of normal activity. Any unusual deviation can trigger instant alerts.
Identify Emerging Fraud Tactics
Unlike traditional systems that rely on predefined rules, AI continuously learns and adapts. As fraudsters develop new techniques, machine learning models evolve to detect previously unseen threats without requiring manual intervention.
Combat Deepfake and Synthetic Identity Fraud
With fraudsters increasingly leveraging AI-generated identities and deepfake technologies, advanced behavioural analytics can help institutions distinguish genuine customers from fabricated digital personas.
Protect Telecom Networks
Dr. Atuahene notes that AI can analyse billions of telecom records and network signals in real time, detecting coordinated SIM-swap attacks, unusual routing activities, and other telecommunications fraud schemes before they escalate.
Collaboration Is the Missing Link
Dr. Atuahene emphasizes the need for unprecedented collaboration among banks, fintech firms, telecom operators, regulators, and cybersecurity agencies. He advocates for shared intelligence platforms capable of exchanging fraud data in real time, enabling institutions to identify coordinated attacks more quickly and respond collectively.
According to him, fraud prevention can no longer be approached in isolated silos because fraudsters themselves operate across multiple platforms simultaneously.
The Future of Financial Security
Dr. Atuahene believes Ghana stands at a critical crossroads. The country has become one of Africa’s leading digital finance markets, but sustaining that success will require a shift from reactive fraud management to proactive, intelligence-led security.
He says the future of payment security will be defined by institutions that can combine artificial intelligence, behavioural analytics, real-time monitoring, and ecosystem-wide collaboration to stay ahead of increasingly sophisticated criminals.
