Anti-money laundering (AML) and graph analytics is a match made in heaven. A lot of anti-money laundering use cases require identifying suspicious connections whereas graph analytics is designed to analyze complex connections from big data at scale. In this article we will provide a series of examples where graph analytics can be used to fight back […]
Why should Anti-Money Laundering (AML) teams pay attention to graph analytics? In this article we will dive into the problems with today’s AML compliance technology, how it impacts anti-money laundering and how graph analytics can provide a path forward for a more effective detection and investigation of AML cases.
Fighting financial crime is a daily battle worldwide. Organizations must deploy intelligent systems to prevent and detect wrongdoings, such as anti-money laundering (AML) control frameworks. We’ll see in this blog post how graph technologies can reinforce these systems. Using graph technologies to fight financial crime In today’s complex economy, law enforcement and financial organizations fight against a […]
Following the money is a good way to fight criminal organizations but it can be a big challenge. Gangs, white-collar criminals or terrorists can create complex circuits to launder their money. Investigators have to map these circuits in order to bring down the criminals and graphs can help them! The challenges of investigating money laundering schemes According […]