Recent events have created increased focus on Financial Crime attacks as well as Cyber, AML and fraud attacks that are growing in sophistication creating losses in the billions. Many software fraud detection efforts are focused solely on signaling & detection but are not adequate for attacks that cross multiple investigation silos like Cyber Attacks, ID theft, Fraud, AML and Trade Surveillance, causing investigation groups to be stretched. Whether you are in Banking or Capital Markets, 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 identify how to reduce false positives by 60%, increase accuracy by 70% and improve overall team productivity by 80% with Expero CoNNected software that bolts onto current on premise technology.
This session will focus on how new ML and Graph analytics work together with simple deep link visualization to increase detection accuracy, decrease false positives, and increase transparency between silos to allow real time alerting to avoid sanctions and fines. We will demo Expero CoNNected for Financial Crimes and show how our software can assist executives and special investigation teams to leverage current technology and unlock the potential in your organization.
Unique Challenges in Transaction Monitoring and Screening - Discuss complexities of new types of AML and Fraud, why they are more difficult to intervene, even with a myriad of current technology and and other impacts on compliance, and the best way to identify real time threats
Technology Innovations - how new technologies like Graph Technology and Analytics, Master Data Matching, Machine Learning, and Adverse Media are assisting in reducing false positives and increasing accuracy
Empower the Investigator - Capabilities in visualization technology and human processes that increase throughput and provide valuable human intelligence, creating quicker and more efficient outcomes for different roles like Case Management, Alerts, ML and Investigators, and Data and Analytics teams
Rise of ML & AI with ‘Explainable’ ML - how to implement practical uses and methods of transaction monitoring of fraud identification, complex dependency and case management with ‘humans-in-the-loop’ for higher accuracy and process streamlining