Fraud, money laundering and cyber attacks are growing in sophistication and creating losses in the billions. The increased sophistication of these attacks reveal that internal firewalls between the detection and investigation groups must be broken down or institutions will face massive losses against these sophisticated attacks. This session will focus on how new ML and graph analytics work together with simple deep link visualization to reduce false positives by 60%, increase detection accuracy by 70% and improve overall team transparency and productivity by more than 80% to allow real time alerting to avoid sanctions and fines.
Fraud, money laundering and cyber attacks are growing in sophistication and creating losses in the billions. The increased sophistication of these attacks reveal that internal firewalls between the detection and investigation groups must be broken down or institutions will face massive losses against these sophisticated attacks. This session will focus on how new ML and graph analytics work together with simple deep link visualization to reduce false positives by 60%, increase detection accuracy by 70% and improve overall team transparency and productivity by more than 80% to allow real time alerting to avoid sanctions and fines.