Wolfsberg Group publishes guidance on AI/ML in financial crime compliance
The Wolfsberg Group has published guidance on artificial intelligence and machine learning (AI/ML), which the association of 13 global banks believes can have, and are already having, a significant impact on improving the effectiveness and efficiency of financial crime compliance and risk management programmes. Principles…
US customs to increase focus on TBML this year
US Customs and Border Protection (CBP) will be increasing its focus on trade-based money laundering (TBML) and tax evasion this year according to CBP’s executive assistant commissioner, AnnMarie Highsmith. Customs officers are at the forefront of efforts to counter TBML because it routinely involves the…
J P Morgan strategic alliance with Cleareye.ai to identify TBML and sanctions red flags
J P Morgan has entered into a global strategic alliance with California-based artificial intelligence (AI) and machine learning (ML) platform Cleareye.ai to digitise trade finance due diligence processing. The alliance aims to identify trade-based money laundering (TBML) and sanctions red flags and significantly reduce false…
TradeSun’s trade finance compliance platform now integrated with Coriolis’ ESG solution
TradeSun, a trade finance platform that features artificial intelligence technology that augments human behaviour by learning how employees interact with trade finance documents, and Coriolis Technologies, a trade data and analytics provider, have partnered to launch an integrated solution for banks to measure and verify…
Banks and financial regulators wasting time on AML compliance should consider AI techniques
A new policy brief published by the Brookings Centre on Regulation and Markets has a clear focus on anti-money laundering (AML) compliance and suggests that banks, regulators, and law enforcement authorities are spending time and money chasing down potential leads but not really curbing illicit…
Korea’s Shinhan Bank launches S-TBML to enhance international trade finance competitiveness
South Korea’s Shinhan Bank has introduced a big data-powered anti-money laundering (AML) system in its efforts to detect suspicious trade transactions and become more competitive in the international trade finance market. Shinhan-Trade Based Money Laundering (S-TBML) uses artificial intelligence (AI), optical character recognition (OCR) and…
TradeSun launches real-time offering to tackle dual-use goods and Russia sanctions
TradeSun, an artificial intelligence (AI) platform for financial crime prevention and compliance in trade, has launched a real-time offering to detect and intercept financial transactions involving dual-use goods from Russia and Belarus, as well as vessels entering sanctioned areas amid the Russia-Ukraine crisis. The solution…
Financial crime specialists expect to benefit from Danske Bank’s trade finance collaboration with Conpend
Danske Bank has announced plans to digitise its trade finance processes through a collaboration with Conpend for use of its Trade AI app to automatically check against anti-money laundering (AML), know your customer (KYC) and sanctions regulations. Trade AI employs artificial intelligence and machine learning….
Screena and ThetaRay AI partnership promises faster identification of sanctioned entities and individuals
Cyber security and big data analytics company ThetaRay has entered into a partnership with Screena, a fintech that screens individuals and verifies entities against designated sanction lists. Aimed at financial institutions and governments, the ThetaRay system is designed to identify sophisticated attempts to circumvent economic…
IHS Markit and TradeSun partner to use data and AI to combat trade-based financial crime
TradeSun, a trade finance platform that features artificial intelligence (AI) technology that augments human behaviour by learning how employees interact with trade finance documents, has partnered with maritime and trade information, analytics and solutions provider IHS Markit, to offer an integrated trade solution that enhances…
