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Leveraging Graph Analytics to fight Money Laundering
It’s estimated that money laundering (ML) transactions account for anywhere between 2% to 5% of global GDP. This amounts to roughly $2 trillion per annum. Today’s struggle against ML brings with it hefty fines to institutions found to have breached anti-money laundering (AML) regulations. Two giant cases were recently settled involving two banking conglomerates. Back […]
What happens when your AML transaction monitoring rules are static
Although we live in a cutting-edge, modern tech world, a large number of payment service providers still use outdated, static systems to flag and identify suspicious transactions and payments. Remedying false positives can be a colossal waste of your team’s time. The situation can also lead to customers’ legitimate transactions being delayed while the team […]
