Leveraging graph analytics to combat money laundering

Leveraging graph analytics to combat money laundering

The risk of money laundering spans the entire financial services ecosystem – banks, payment providers and newer cryptocurrencies, such as Bitcoin and Ripple and more. Given how much financial activity occurs every second, everyday, it’s important for banks and financial organizations to develop a robust AML strategy that is effective in stopping fraudsters in their tracks.

However, few people outside the AML compliance profession fully appreciate how hard it can be to get it right. Thankfully, there are new technologies such as graph analytics that can help. As we dive into this topic, let’s first consider key challenges contributing to this exceedingly difficult task.

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