From human trafficking and crypto risk to shell companies, the partnership aims to uncover how banks can use machine learning to bolster banking defence against the unexpected 

“In the AML domain, unsupervised machine learning is in its infancy. As a forward-thinking company, we want to stay ahead of the curve and provide our customers additional security against unforeseen and unusual events,” says Martin Barber, VP, People & Capabilities for BAE Systems Digital Intelligence and project sponsor. “By partnering with the University of Nottingham Malaysia, academia and analysts will work side by side to push the boundaries of machine learning for enhanced AML solutions.”

Read the complete article, titled, BAE Systems and the University of Nottingham Malaysia partner to tackle “missed risk” in money laundering:

https://www.baesystems.com/en/cybersecurity/article/bae-systems-and-the-university-of-nottingham-malaysia-partner-to-tackle-missed-risk-in-money-laundering