Home Posts tagged "fraud"
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eCommerce and Mobile Banking Fraud Lead 2016 Fraud Increase in the UK

Financial Fraud Action (FFA) UK, a financial services industry research and reporting group, recently released their 2016 year-end payment card and banking fraud totals which showed an increase in card fraud overall, primarily led by card not present channel fraud. Changing trends include an increase in fraud attempts but targeting lower order amounts compared to

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Post-EMV eCommerce Fraud Growth Abetted by Data Breaches

According to recent data from Experian, eCommerce fraud was 15 percent higher in the first half of 2016 compared the same period the year before, but for the full-year eCommerce fraud attack rates increased to 33 percent. This implies an even greater increase in CNP fraud in the second half of the year, and it

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Global Spending to Increase on Fraud Detection, Cybersecurity and Big Data Analytics

Multiple studies and sources are coming to the same conclusion: organizations will be spending more on risk management and data analytics to keep up with growing fraud and business trends. This includes $9.2 billion spent on online fraud prevention services, $170 billion spent on cybersecurity and over $200 billion spent on big data analytics globally

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The Holiday Season is Also Fraud Season

It’s no secret that fraudsters increase their activity and fraud attempts during the holiday season when many merchants are at peak volume, but considering other fraud factors ACI Worldwide predicts a more than 40 percent increase in fraud this holiday season.  Meanwhile the FBI warns of fraudulent merchants, mobile apps with malware and work from

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The Impact of Fraud Beyond Direct Financial Losses

Because eCommerce fraud is already painful with the reversal of funds, chargeback fees and lost product, the indirect costs are often ignored or are just an afterthought. Recent studies show the lasting impact payment fraud has on consumers, merchants and issuers, indicating that the cost of fraud continues beyond the initial loss. Increasing fraud has

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Fraud Attempts Increased this Holiday Season for Digital Download, In-Store Pickup and Overall

Benchmark data of top global retailers from ACI Worldwide along with data tracked by the eBay Enterprise Holiday Fraud Index show apparent strategies and key dates where types of fraud attacks spiked during the holiday season, while overall fraud attempts between Thanksgiving and New Year’s Eve increased by 8 percent compared to 2014. Merchants with

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IBM Acquires European Payment Fraud Vendor IRIS Analytics

In mid-January IBM announced the acquisition of IRIS Analytics, a data modeling and analytics provider based in Germany that focuses on risk management for issuers and payment providers. This is IBM’s second acquisition in risk management for the financial services industry following their 2013 purchase of Trusteer. IRIS Analytics was founded in 2007 and provides

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Merchants Should Already be Planning for Increased Fraud Attempts Post-EMV

According to forecasts from Aite Group nearly all credit cards issued in the U.S. will have EMV capabilities by 2018 when CNP credit card fraud losses are expected to reach $6.4 billion in the United States. As EMV cards become commonplace among U.S. cardholders it will make counterfeit card fraud more difficult and drive more

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How Manual Review Metrics Vary Across Small and Large Merchants

It can be difficult for merchants to really understand how well they are performing with manual reviews for online fraud management relative to their peers. In this FraudBlog post we look at merchant reported statistics from three surveys covering merchants of all sizes in North America and the United Kingdom highlighting major differences between high

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With Custom Modeling, Deployment is Just as Critical as Design

Whether an organization is building a custom modeling solution in-house, using a service provider or combining both in-house and third party resources, the fundamental components of an effective custom modeling solution are the same. Statistical models must first be created, which requires historical data, a team of modeling experts, as well as the right tools

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