As of now, Fraud Management and Security, including Real Time Security Intelligence (RTSI) and advanced security and threat analytics are commonly segregated from each other. While this at first glance makes sense, given the different corporate buyers, there are three good reasons for a more integrated perspective. On is that the underlying analytical technologies are vastly the same. It is about machine-learning and pattern-based analytics, helping better protecting organizations against fraudulent behavior and attacks (notably, banking fraud is tightly related to threat analytics anyway). It is about Adaptive Authentication, taking the context risk into account when e.g. granting customers access to their bank accounts or employees access from their mobile devices to sensitive business applications.
Moreover, the reason for doing all this is risk migration. Both Fraud Management and RTSI are elements of risk mitigation strategies. Both should integrate with GRC (Governance, Risk Management, Compliance) tools for providing an up-to-date risk view.
In this session, we will look at the similarities and differences, but also the emerging need for better integrating both Fraud Management and Security Management with the overarching GRC view.
