Por Jose Pulido, Editor
June 23, 2023
Google Cloud has launched an AI-powered anti-money laundering (AML) offering designed specifically for financial institutions. This solution aims to increase risk detection capabilities and lower operational costs by providing a machine learning-generated customer risk score as an alternative to traditional rules-based transaction alerting.
The risk score is calculated based on various bank data, including transaction patterns, network behavior, and know your customer (KYC) information. By analyzing these factors, the system can identify high-risk retail and commercial customers. One of the key advantages of this solution is its ability to adapt to changes in the underlying data, ensuring more accurate results over time and improving overall effectiveness.
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The AML AI offering from Google Cloud has already been deployed in several regulatory jurisdictions and has received positive feedback from customers such as HSBC, Bradesco, and Lunar. HSBC, in particular, has experienced significant improvements in AML detection capability, with enhanced precision and reduced alert volumes. The processing time required to analyze billions of transactions across millions of accounts has also been significantly reduced.
For detailed information, visit: PaymentsJournal
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