Fight Cyber Crime and Fraud with Graph & ML

Cyberattacks and ransomware are gaining in sophistication and complexity, resulting in billion dollar losses for targeted companies. Many software efforts are focused on signaling and detection, but they aren't adequate for attacks that cross multiple investigation silos including cyber, ID theft, fraud, AML, and compliance. Whether you are in healthcare, retail, banking, or insurance, these new types of attacks reveal that internal firewalls between the detection and investigation groups must be broken down or institutions will face massive losses.

This session will focus on how new machine learning and graph analytics can 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.


  • Scott Heath, Executive - Graph at Expero