Tag Archives: hybrid fraud detection approach

Why do fraud programs fall short?

fraud

In spite of the high priority given to fraud, financial crime and security risks, traditional approaches to dealing with such risks are proving to be insufficient. Investigators aren’t getting the full picture of a customer and the issues – an investigator in the credit card investigations department might not realize there’s a case on that same person in another department. What’s the answer?

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Hit a roadblock in your fraud management?

Roadblock final

Ellen Joyner says there are three ways banks can use analytics to identity and stop fraud while improving the customer experience. See if one of these will remove your roadblock.

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Change the fraud-fighting focus

Cyber-security

If traditional methods and systems used by federal agencies aren’t enough to detect organized criminal fraud networks, what is? Jon Lemon, Solutions Specialist at SAS, says that it’s time to change what you are looking for and methods by which you look. Take a look at how this hybrid approach is working.

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Who’s watching the watch dogs?

large bank

Jon Lemon, Solutions Specialist at SAS, takes a look at three true stories of fraud to show how law enforcement or government agencies can use multiple analytical methods to proactively identify fraud schemes in their infancy – and spare federal taxpayers billions of dollars in benefit payouts each year.

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Convergence of fraud & security issues

data visualization

Every day, fraudsters and cyber criminals become more sophisticated and better organized. How can you protect your organization and your customers from this threat? Patricia Spinner says convergence of fraud and security issues reduces vulnerabilities. She proposes a solution-driven, integrated approach that detect threats while there is still time to react.

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FFIEC Guidance: Five layers for fraud detection and prevention

David Stewart

One of the challenges facing financial institutions is that their fraud detection and prevention systems have been siloed by products and channels. They use one system for credit card detection, another for check fraud and yet another for online banking. The FFIEC recently updated guidance on customer authentication and layered security.

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Predictive analytics: Top five data excuses in insurance fraud detection

Basel III discussions

Given the increase in fraudulent claims, it is imperative for insurance companies to leverage technology as a key enabler to combat crime-ring-based fraud. Read this article to learn why predictive analysis is important for insurance fraud protection.

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