Reduce false positives, become more efficient by automating anti-money laundering detection

This blog post was created in partnership with André Burrell who is the Banking & Capital Markets Strategy Leader on the Worldwide Industry team at Microsoft. In our last blog post Anti-money laundering – Microsoft Azure helping banks reduce false positives, we alluded to Microsoft's high-level approach to a solution--which automates the end-to-end handling of anti-money laundering (AML) detection and management. Due to the growing number of fines issued, there is now an increased drive to hold compliance officers, senior executives, and board members personally liable for failing to have an adequate AML program and transaction monitoring system (TMS). Any alert generated and not closed by the TMS must be reviewed by a human. Current technologies cannot assess a transaction in context.