– Understand the key differences between ITDR and fraud prevention in identity security.
– Learn how attackers exploit identity systems and fraud workflows—and how to stay ahead.
– Explore AI, machine learning, and automation in ITDR and fraud prevention.
– Discover best practices for integrating ITDR and fraud prevention into a unified strategy.
In today’s evolving cyber landscape, securing enterprise systems and protecting customer trust demand a comprehensive, identity-centric approach. Identity Threat Detection and Response (ITDR) and Fraud Prevention are two critical disciplines working toward this goal, yet they differ in scope, methodologies, and technological frameworks.
ITDR is focused on preventing, detecting, and responding to cybersecurity events in the enterprise, such as those caused by negligent over-provisioning or malicious insiders. In contrast, fraud prevention mainly addresses use cases involving unauthorized transactions for consumers and B2B customers.
Justin Richer, CTO at UberEther
Martin Sandren, IAM Product Lead at IKEA
Ing. Robert Garskamp, IAM Manager at Alliander
Moderated by John Tolbert, Director of Cybersecurity Research at KuppingerCole.