Fraud

Audiophile or Fraudster?

Who buys forty pairs of headphones? For most retailers the answer is simple: A fraudster. Especially when each pair cost hundreds or even thousands of dollars. Such orders are expected from fraudsters eager to resell high quality electronics at a discount for instant cash. But Moon Audio knows that many such orders are coming from…

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What You Should Know About PCI DSS Penetration Testing

It seems not a day goes by that you don’t read about another massive data breach. The sad fact is that breaches happen all the time. Cybercriminals are increasingly sophisticated and increasingly motivated by the lucrative trade in personal information — names, birth dates, social security numbers, credit card accounts. Those bits of information are…

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The True Cost of Online Fraud Might Surprise You

The financial pain of pilfered merchandise is just the beginning for online retailers hit by fraud. The bigger cost comes from missed sales opportunities. Now retailers are turning to new fraud-protection methods to regain the upper hand.

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How to Pick a Fraud Protection Provider

When you desperately need ecommerce fraud protection is no time to start thinking about what you want in a fraud protection provider. Some thoughts on figuring out which fraud protection partner is best for your business.

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Account Takeover and the Changing Face of Fraud

Online fraud is here to stay, but the nature of it is constantly changing. Signifyd’s Sourabh Kothari took IRCE attendees through the Ecommerce Fraud Index, which described the changing shape of the fraud threat to retailers.

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Digging Through the Dark Web Can Pay Off for Fraud Professionals

The Dark Web is a scary place filled with fraudsters, fakers and felons. But it is also a rich resource for threat intelligence experts who are looking to identify stolen personal information. Credit Karma’s Igor Bulavko recently explored the good-guy potential of the internet’s dark underside at Signifyd’s latest Payment/Fraud Meetup.

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Why machine learning is not the silver-bullet solution to online fraud

Machine learning has emerged as the best tool to fight fraud at scale, and merchants with the right instincts are increasingly turning to it for solutions. However, too many merchants are looking to machine learning as a panacea for fraud, and some vendors are irresponsibly fueling that belief, advocating a total replacement of seasoned fraud…

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Signifyd Meetup Will Explore Voices From the Dark Web

Facebook, Cambridge Analytica, Equifax and now the Dark Web have recently become hot topics of conversation and not necessarily for the reasons they would like. But the truth is, the Dark Web and those who mine it to make an illicit living have been around for years.

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Signifyd’s Study Shows Growth in Online Fraud

Ecommerce fraud increased 7 percent in 2017, but a sweeping Signifyd study shows the story is a much more nuanced one. Fraudsters may be favoring new methods and just how big your fraud problem is has a lot to do with what you sell.

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Faster Delivery, Stronger Security are 2018 Ecommerce Priorities

Online ecommerce in 2018 will be marked by faster delivery times and stronger identity verification, experts say. As we move through the first quarter of 2018 it is apparent that retail trends this year will be a mix of the old and the new. Experts say an old standby — the need to speed up…

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What to Look For When Choosing a Payment Processor

One thing every online merchant learns pretty quickly is that a successful e-commerce operation relies on a network of partners to perform the digital ballet of presenting products, taking payment, filling orders and getting the goods to customers as quickly as possible — all while ensuring that no one is taking advantage of them. At…

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How Retailers Can Put the Positive in False Positives

Evolving technology requires evolving thinking for online merchants when it comes to false positives — or orders mistakenly declined for fear of fraud. The goal of modern fraud protection isn’t to eliminate all fraudulent orders, but rather to become better at differentiating between fraudulent and legitimate orders.

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