SAS Fraud Prevention & Compliance Management

There's a buzz around AI and GenAI – but there are also many benefits to be gained. Both have applications that can be applied in Fraud and Financial crime. We’ll discuss the benefits realized with AI and the advances of GenAI. But it isn’t all about machines; it's also about how collective intelligence brings AI, systems, humans, and data intelligence together as complementary factors to combat financial crime.

Scams are a persistent issue globally. Although, fraud has always been in focus, the losses from scams are out of control. The industry is in a tailspin. The media coverage has deepened. The regulators are increasing their scrutiny to a heightened level.

Scammers are constantly evolving their tactics, taking advantage of new technologies, and exploiting vulnerabilities. For those solving the problem of scams, the success, the predominant types and impact can vary by region, customer demographic, and channel. In this session, we'll discuss the impacts and implications of scams from a customer, financial institution, and Solution provider perspective.

This session will talk about examples of specific scam issues and how SAS has worked with clients to address those challenges. We'll take a use case/case study view on how analytics/AI/ML, reference accounts, and social network analysis to identify mule accounts (both an AML and Fraud concern) can help the industry combat scams.

How do organizations move to real-time onboarding and originations? It starts with bringing data and decisions together within the customer lifecycle. In this session, we'll discuss and show how technology is helping financial institutions make better and faster decisions and how customers demand the promise of digital immediacy.

A pragmatic view on the new technology supporting better detection. We'll explore the main challenges and trends while sharing practical insights on how new technologies revolutionize detection.

We'll use a case study to illustrate how data and decisioning are simplifying onboarding and origination activities like customer screening, application fraud, credit risk decisioning, and customer risk assessment. We'll dive into the customer experience, technology execution, and operational impact in driving immediate results for customers. What does this mean for organizations today, and where could they be?