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You become the hunter and they become the prey

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Is it even possible to reduce fraud? This pointed question was asked Tuesday at the SAS Media Day fraud panel. After all, today’s fraudsters are smart, global, networked and hi-tech. As soon as you catch one, another steps in. And once you put a system in place to combat a certain type of fraud, a whole different type of fraud appears that you probably never anticipated.

"Fraudsters are very much like a pack of wolves," says Chris Swecker, corporate security expert and former Assistant Director of the FBI. “And the financial institutions are the prey: They’re really trying not to be the next victim, and they’re trying to outrun each other or hide the best they can.”

But it doesn’t have to be that way. “I think those roles can be reversed,” says Chris. “With the help of analytics designed to look at ring-related network activity, you become the hunter and the fraudsters become the prey.”

Rex Pruitt, a Business Analyst at PREMIER Bankcard LLC, agrees that it is possible to reduce fraud, and he has the numbers to prove it. Using predictive models to anticipate fraud activity before it occurs, his organization reduced the rate of application fraud in its portfolio from an estimated 4 percent down to an estimated 3 percent.

"That equates to about $9 million in total revenue to the company," says Rex. "You gain a lot by being able to identify those fraudsters."

How does it work? The predictive model identifies fraudsters with a score during the application process. Applicants identified as fraudulent are eliminated from the portfolio before the bank has even incurred the cost of fraud. Rex says early identification can also free up volume capacity, so the bank can bring on more good applicants.

To build on the type of analysis PREMIER is already doing, Chris Swecker suggests banks use network analysis to identify rings of fraudsters that can be observed in the bank’s data. "You’re not going to eliminate fraud – but you can create better deterrents and a much higher risk environment for fraud," he says. "What I advocate, and the record is very clear: the way to get at financial crimes is to look at them, address them and detect them as a network."

Chris worked with a large, international bank on a networked fraud detection project using SAS and was able to identify 40 new fraud rings almost instantly. “We had billions of transactions, hundreds of thousands of customer accounts, and myriad of products and services. SAS provided a way to look at the data and see the broad network activity that’s going on using our own data.”

Chris says there’s a clear supply chain that you can see when investigating networked crimes, especially with Internet crime: You have individuals that steal and sell the data, buyers who usually resell it, and eventually the data makes its way to the people who exploit it by manufacturing credit cards and debit cards, which then pop up somewhere in the hands of someone committing the detectable fraud act.

"I’m careful not to use the word ‘organized crime,’ because it’s 'network crime,'" says Chris, and there's a difference. "It’s not like a hierarchy with a crime boss on top and layers below him in an org chart. Fraud networks are spidered out. It is a network, and we ignore the network at our own peril."

Hear more from Chris and Rex – and learn about SAS fraud solutions by visiting the Media Day press kit or watching video snippets of the panel discussion by topic area:

Tags banking financial services fraud premier bankcard premier business leadership series
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Alison Bolen

Editor of Blogs and Social Content

Alison Bolen is an editor at SAS, where she writes and edits content about analytics and emerging topics. Since starting at SAS in 1999, Alison has edited print publications, Web sites, e-newsletters, customer success stories and blogs. She has a bachelor’s degree in magazine journalism from Ohio University and a master’s degree in technical writing from North Carolina State University.

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