Nigeria’s Central Bank (CBN) has taken a historic step by formally incorporating artificial intelligence and machine learning into its anti-money laundering (AML) and countering the financing of terrorism (CFT) framework, requiring financial institutions to deploy automated, technology-driven compliance systems.
In new baseline standards released on Tuesday, the regulator explicitly recognised AI as a critical tool for detecting sophisticated financial crimes in an increasingly digital banking environment. The guidelines mark the first time the CBN has embedded references to AI/ML directly into its AML rules, shifting away from predominantly manual processes toward real-time, intelligent monitoring.
“As financial services become increasingly digitised and complex, manual AML/CFT/CPF controls are no longer sufficient to manage evolving risks,” the CBN stated in the circular.
The framework applies to all regulated entities including commercial banks, mobile money operators, payment service providers, fintechs, and international money transfer operators—and aligns with global standards set by the Financial Action Task Force (FATF). Nigeria’s removal from the FATF grey list in 2025 had already signalled progress in strengthening its AML regime; these rules build on that momentum by pushing for measurable effectiveness rather than box-ticking compliance.
Under the new standards, institutions must implement integrated AML platforms capable of:
– Automated customer due diligence and risk-based profiling
– Real-time transaction monitoring for suspicious patterns
– Sanctions and politically exposed persons (PEP) screening
– Behavioural analysis and anomaly detection
– Case management, alert investigation, and regulatory reporting
The guidelines particularly encourage the use of AI and machine learning for advanced techniques such as anomaly detection, behavioural pattern recognition, automated risk scoring, and fuzzy-matching logic to identify name variations or similarities that might indicate hidden connections.
However, the CBN placed strong emphasis on governance and transparency. AI/ML models must undergo independent annual validation to ensure accuracy, fairness, and lack of bias. Institutions are required to maintain documented governance frameworks, ensure human oversight, and provide explainable outputs so investigators can understand exactly why an alert was triggered.
The rules also extend to real-time fraud monitoring across cards, digital channels, deposits, and lending. Systems must flag unusual activity in near real-time to enable intervention before losses occur, reflecting the sharp rise in electronic fraud. According to the Financial Institutions Training Centre (FITC), fraud losses in Nigeria’s financial sector soared 603% to ₦3.29 billion in Q1 2025 alone, with over 12,000 cases reported.
The directive fits into a longer-term CBN strategy to tighten fraud and financial crime controls. Previous measures include the establishment of the Nigeria Electronic Fraud Forum (NeFF) in 2011, mandatory fraud desks at banks, stricter KYC rules tied to BVN/NIN in 2023, debiting of receiving banks for fraud proceeds in 2024, and new timelines for fraud reporting and refunds introduced late last year.
The latest framework goes further by promoting a unified financial crime risk architecture where AML and fraud systems share data and analytics to uncover links between everyday fraud and potential money laundering schemes.
Implementation deadlines are firm: all institutions must submit detailed roadmaps to the CBN within three months. Deposit money banks have 18 months to achieve full compliance, while other financial institutions have up to 24 months.
The move positions Nigeria among a growing number of jurisdictions leveraging AI to stay ahead of evolving criminal tactics in digital finance. With mobile money and instant payments now dominant, the CBN is betting that intelligent, explainable technology backed by strong human oversight will be essential to safeguarding the financial system and maintaining trust.
