All posts by Chris Ryan

Third-party fraud involves an identifiable victim that is willing to collaborate in the investigation and resolution.

First-party fraud can be detected and prevented by using robust fraud risk management strategies and solutions.

Fraud mitigation is an ongoing process to identify suspected fraud quickly and manage any fallout without increasing risk.

We're considering the pros and cons of manual fraud reviews, and the benefits of applying analytics to your fraud review process.

Since 2002, lenders have been aware of the importance of Know Your Customer (KYC) and the associated Customer Identification Program (CIP) requirements.

Digital transformation has impacted account takeover fraud over the last year, requiring businesses to update their prevention and detection strategies.

I’d like to explore a hybrid type – synthetic identity fraud – and how it can be the harder to detect than third- or first-party fraud.

Experian is excited to be chosen as one of the first data and analytics companies to enable access to SSA data for verifying identity against the Federal Agency’s records.

The best online experience balances security and convenience. Technology and innovation is allowing businesses to give the maximum potential of both.

There's currently an outbreak of breach-fueled credential stuffing. Billions of stolen usernames/passwords have been compiled and available to criminals

Children are attractive victims since fraud that uses their personal identifying information can go for years before being detected.

First-party fraud involves making financial commitments or using their own identity, a manipulated version of their own identity or a synthetic identity.

While the marketplace struggles to manage the impact of fraud prevention, CIP routinely disrupts more than 10 percent of new customer acquisitions.

Fraud Solutions Made Easy — solving new fraud problems by Adapting Legacy Solutions 

Application risk management processes for deposits has remained relatively unchanged for decades. Typically, it involves credit bureau data and a secondary check of “debit bureau” data. A “debit bureau” typically gathers information regarding known fraud and compiles a fraud database of perpetrators. Every applicant who passes the credit risk strategies is checked against this database. The challenge is that this process can be very expensive. Among a new class of fraud best practices is the idea of applying fraud models/fraud analytics as a filter upstream from the debit bureau’s fraud database. This practice enables deposit institutions to still identify known fraud and minimize fraud losses on those applicants that carry the highest risk. At the same time, costs are reduced by removing low risk accounts from the debit bureau check.    In addition to reducing costs, these revised acquisition strategies help reduce fraud referral rates while ensuring that application fraud does not increase. As deposit institutions look for ways to significantly reduce costs without suffering additional application fraud, look for the continued emergence of fraud analytics among 2011’s fraud best practices.