Synthetic Identity Fraud: Interview with a Detective (Video)
In this video, detective Jesse Gossman shares how synthetic identities are used, and the risks associated with Credit Profile Numbers (CPNs).
Liz Lasher
Liz Lasher is a Vice President of Fraud, Financial Crime and Cyber Risk Portfolio Marketing at FICO. She is a practiced solutions consultant across financial services, auto finance, property and casualty insurance, healthcare and government. She brings extensive experience in how to leverage innovative technology and advanced machine learning analytics to mitigate fraud and financial crime. Liz holds a B.S. from the University of Virginia and a MPH from the University of North Carolina – Chapel Hill.
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How To Fight Identity Fraud: Q&A with Andy Procter
It’s a harsh truth that while data and technology in the fraud business abound, true domain expertise is a scarce resource. We speak to Andy Procter, FICO’s own fraud specialist about how to fight identity fraud,
Application Fraud – Pre-Book and Post-Book Controls (Video)
Where in your fraud controls should you be considering post-book controls? And where can you work better with your partners in risk to mitigate losses?
How Can Machine Learning Fight Application Fraud? (Video)
Machine learning analytics must be a critical part of a financial institution’s application fraud control strategy.
Application Fraud – What’s Behind the Surge in Losses? (Video)
Want to learn why application fraud is on the rise? In this clip, I share insights into the three major drivers beyond the tremendous YoY growth rates.
Application Fraud: The Role of AI and Machine Learning
I spoke with one of FICO’s principal scientists, Derek Dempsey, who shared how AI and machine learning are solving problems in application fraud.
4 Success Factors for Machine Learning in Fraud Detection
Machine learning in fraud detection performs better when we know the strengths and limitations of different analytic toolkits, and understand the factors that determine accuracy.
Video: Addressing the Rise in Application Fraud
As a result of the rise in application fraud due to EMV adoption in the US, Citi is exploring new authentication protocols and new analytics.
Preventing Application Fraud with Machine Learning and AI
When it comes to application fraud, machine learning analytics must be a critical part of a financial institution’s control strategy.
Best Practices in Fraud Management: Q&A with Bob Shiflet
How is application fraud evolving? And what should fraud leaders be doing to manage fraud risk in a digitally connected world?
What Data Do I Need to Fight Application Fraud?
It’s raining data left and right, and you need to start by understanding what data you already have to fight application fraud and where there are gaps.
ELI5: How Does the Dark Web Work?
When we talk about brute force application fraud and bot-net attacks, what are we really talking about?
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