Canadian Financial Infrastructure Exploited in Transnational Fraud

Abstract

This report examines the convergence of generative artificial intelligence, cryptocurrency laundering infrastructure, and cross-border social engineering in the evolution of romance scam-enabled financial crime affecting Canadian institutions. Drawing on reporting from the Federal Bureau of Investigation Internet Crime Complaint Center (FBI IC3), the Financial Transactions and Reports Analysis Centre of Canada (FINTRAC), the Royal Canadian Mounted Police (RCMP), and blockchain analytics firms Chainalysis and TRM Labs, the analysis identifies a measurable transition from opportunistic, manually-operated fraud schemes toward industrialized transnational operations. The report documents how AI-generated personas, deepfake impersonation tools, and multilingual automation systems have reduced operational costs for fraud actors while increasing victim acquisition at scale. Particular attention is given to cryptocurrency laundering pathways — including stablecoin conversion, decentralized finance (DeFi) layering, cross-chain transfers, and over-the-counter (OTC) broker off-ramping — that exploit the opacity of digital asset ecosystems and exceed the detection capabilities of traditional threshold-based anti-money laundering (AML) monitoring systems. The report further assesses Canada's specific vulnerability profile, attributing heightened exposure to widespread Interac e-Transfer adoption, high public trust in digital financial systems, and fragmented cross-border compliance coordination. Three systemic risk vectors are identified and analyzed: the industrialization of victim acquisition, increased laundering opacity through decentralized cryptocurrency infrastructure, and the systematic exploitation of Canadian digital payment rails. Recommendations are directed at the Economic and Financial Crimes Commission (EFCC), Nigerian financial intelligence agencies, and Canadian financial institutions and cryptocurrency platforms.