Article not found

    Back to insights

    Why Nigerian banks cannot wait to modernise fraud detection

    Article

    Nigerian banks lost N52.26 billion to fraud in 2024, nearly triple the prior year, even as the number of reported attacks fell. This piece explains why legacy, rule-based detection can no longer keep pace, and what core banking infrastructure leaders need to put in place over the next 12 months.

    Why Nigerian banks cannot wait to modernise fraud detection
    According to the Nigeria Inter-Bank Settlement System, financial institutions lost N52.26 billion to fraud in 2024, up from N17.67 billion in 2023. That's a single-year increase of almost 200%.  Whilst the number of reported fraud cases fell by 31% between 2020 and 2024, the amount lost rose by 350% over the same period.  This trend represents a fundamental shift in the fraud landscape. Fraudsters are executing fewer attacks but with dramatically higher value. Individual incidents are becoming more costly and more devastating to affected institutions.  For Nigerian banks, this is an urgent wake-up call. The institutions that don't modernise their fraud detection systems now will face existential pressure in the next 12 months. 

    Why legacy systems are failing 

    Most Nigerian banks are still using fraud detection systems built on rules: flag a transaction if it exceeds a certain amount, if it originates from an unusual location, if it happens outside normal hours.  These systems were designed for a different era of fraud. They cannot keep pace with the sophisticated, AI-powered attacks that are now driving the bulk of fraud losses across African financial services.  Rule-based systems have two critical failures.  First, they cannot adapt to new fraud patterns without manual human intervention. Recognising a new attack pattern, understanding it, writing a rule to catch it, and deploying that rule typically takes weeks. But fraudsters using fraud-as-a-service toolkits, available on dark web marketplaces, can change their tactics within days. This gap is where fraudsters operate with impunity.  Second, they produce high rates of false positives. Every false positive blocks or delays a legitimate customer's transaction. At scale, this creates operational burden for your fraud team and material damage to customer experience. In a market where customers are evaluating whether digital banking is trustworthy, false positives undermine adoption.  According to Veriff's Future of Finance Report, one in every 20 verification attempts is now deemed fraudulent. For a Nigerian bank onboarding new customers at scale, this means synthetic identity fraud is becoming a routine problem, not an edge case. 

    The new threats facing Nigerian banks 

    In Nigeria, the scale of the problem is already evident. 

    Synthetic identity fraud 

    According to the NIBSS Industry Fraud Desk Report (2023), identity-related fraud cases on digital banking platforms in Nigeria rose by 245% between 2020 and 2023, with the highest number of reported cases involving digital payment providers. Major Nigerian fintech platforms like OPay, with over 40 million registered users and billions of naira in daily transactions, have become victims of ongoing synthetic identity fraud enabled by AI-generated deepfakes, falsified national identification documents, and liveness-detection bypass methods that compromise Know Your Customer (KYC) and real-time transaction authentication systems.   The global picture reinforces the urgency. Global fraud losses reached USD 442 billion in 2025 alone, according to the INTERPOL Global Financial Fraud Threat Assessment.  What makes this particularly dangerous for Nigerian banks is that 95% of synthetic identities are not detected during the onboarding process at financial institutions. If your institution is relying on manual review or basic document checks, most synthetic identities will pass. 

    Account takeover at scale 

    Account takeover fraud surged 122% year-on-year in 2025. The combination of Nigeria's high mobile banking penetration and AI-powered social engineering creates an acute vulnerability. A fraudster can compromise an account and move funds before your detection system flags it. 

    Fraud-as-a-service 

    The democratisation of fraud tools is accelerating attacks. Dark web marketplaces now offer packaged fraud kits for: 
    • Business email compromise 
    • Account takeover 
    • Synthetic identity creation 
    • Phishing 
    This means attackers no longer need deep technical capability. Individuals and small groups can execute sophisticated fraud using readily available tools. 

    What AI-powered detection delivers 

    The shift to AI-based fraud detection changes the fundamental economics of fraud prevention. Rather than relying on predefined rules, machine learning models identify patterns across millions of data points simultaneously, learn from new data in real time, and adapt to emerging fraud tactics without manual updates.  But the real advantage is real-time detection. AI systems can flag suspicious activity before transactions complete, not after the damage is done. 

    The infrastructure requirement 

    Fraud prevention in 2026 is an infrastructure question as much as it is a technology question. The institutions that can detect and respond to fraud in real time are those whose core banking systems are designed to make that possible. 

    You need: 

    Real-time transaction processing. Your core must process transactions as events and expose them through APIs in real time so fraud detection systems can flag suspicious activity before it completes.  A secure, read-only database replica. Fraud teams, analysts, and investigators can query freely without creating load on the live system.  Configuration-based updates. When a new fraud pattern emerges, your risk teams should be able to update detection rules in hours, not weeks waiting for vendor updates. 

    The competitive reality 

    Banks that move now, that upgrade their core infrastructure to support real-time fraud detection, will have a significant advantage. Those that wait will face increasing fraud losses, customer churn, and regulatory pressure.  The window to act is now. The institutions that will lead Nigerian banking in 2027 are those that treat fraud prevention as an infrastructure problem in 2026.  Use Oradian's fraud readiness toolkit to see how you currently stack up and for a detailed framework on assessing your current fraud capabilities, what infrastructure you need to build, and a 90-day implementation roadmap, download our digital-first bank's guide to fraud. 

    All insights