The Central Bank of Nigeria has introduced new
baseline standards requiring financial institutions to implement automated
anti-money laundering (AML) systems to detect suspicious transactions and
strengthen compliance with financial crime regulations.
The directive, issued in a circular dated March 10,
2026, is titled “Issuance of Baseline Standards for Automated Anti-Money
Laundering (AML) Solution for Financial Institutions in Nigeria” and was
signed by Akinwunmi Olubukola and Olubunmi Ayodele-Oni.
The standards apply to deposit money banks, mobile
money operators, international money transfer operators, payment service
providers, and other regulated financial institutions. According to the CBN,
the framework is designed to strengthen Nigeria’s financial crime detection
capabilities as financial services become increasingly digitised.
“The Baseline Standards provide a framework for
implementing automated solutions that strengthen the detection and reporting of
suspicious transactions in real time and enhance compliance with applicable
AML/CFT/CPF laws and regulations,” the circular stated. Automated systems are
expected to help institutions better manage financial crime risks and monitor
suspicious activity effectively.
Under the directive, deposit money banks have 18
months to comply fully, while other financial institutions have a 24-month
deadline. Institutions must also submit implementation roadmaps to the
regulator within three months of the circular’s issuance.
The CBN highlighted that the complexity of modern
financial transactions has made traditional manual compliance systems
insufficient. Financial institutions are therefore required to deploy automated
AML platforms capable of supporting customer identification and verification,
risk assessment, sanctions screening, transaction monitoring, case management,
investigation processes, and regulatory reporting.
These systems must integrate with core banking
platforms and operational systems to ensure comprehensive monitoring across all
products, channels, and customers. AML monitoring should analyse transactions
in the context of the customer’s profile, rather than relying solely on raw
transaction data. The framework permits the use of advanced technologies,
including artificial intelligence, machine learning, and predictive analytics,
to enhance detection of suspicious financial patterns.
The regulator emphasized that such technologies must
be properly governed and independently validated. Institutions are required to
conduct annual independent validation of AI and machine learning models to
assess accuracy, performance drift, fairness, and potential bias.
The standards also mandate stronger know-your-customer
(KYC) processes, with integration of identity verification through national
databases such as the Bank Verification Number and the National Identification
Number. AML platforms must screen customers and transactions against domestic
and international sanctions lists, politically exposed persons registers,
internal watchlists, and adverse media sources. Systems must be able to block
account openings or transactions when sanctions matches are confirmed.
In addition to AML controls, the framework encourages
automated fraud monitoring across electronic channels, card payments, deposits,
and lending platforms. Compliance will be monitored through off-site
surveillance, on-site examinations, and thematic regulatory reviews.
Institutions that fail to meet the standards may face remedial directives,
administrative sanctions, and financial penalties.
The CBN emphasized that the baseline standards set the
minimum compliance threshold and that stronger controls may be required
depending on an institution’s operational complexity and risk profile. The new
framework is expected to strengthen Nigeria’s ability to prevent, detect, and
report money laundering, terrorism financing, and proliferation financing while
reinforcing the integrity and stability of the country’s financial system.
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