30% of all money laundering globally is conducted via trade.

There is growing regulatory pressure on financial institutions to improve inadequate trade-based money laundering risk.

Find out how an automated contextual solution can overcome the challenging complexity and scale of trade to consistently and effectively detect financial crime and trade-based money laundering.

You’ll learn…

• New and different ways criminals are exploiting global trade to launder illicit funds

• How to effectively detect trade-based money laundering and financial crime using an automated contextual approach to data

• What a complex criminal network enabling the movement of corrupt funds may look like

• Why collaboration and information sharing will be key to preventing trade-based money laundering risk