While consumers are aware of increased risks and scams via the internet, they still plan to do more shopping online – and earlier – this holiday season, McAfee reveals. Thirty-six percent of Americans note they are hitting the digital links to give gifts and cheer this year, despite 60% feeling that cyber scams become more…

Online payment fraud attempts increased by 73 percent in 2019, according to a report from Sift. Additional findings in the report reveal that cybercriminals are using mobile devices more than desktops or laptops to commit payment fraud. In fact, though Windows is the top single operating system for fraudsters, iOS and Android combine to make…

Expect unprecedented levels of online data theft this holiday season due to a lack of deployed client-side security measures. Disturbing lack of security measures Tala Security highlights the widespread vulnerability resulting from integrations that enable and enhance website functionality. These integrations, which exist on nearly every modern website operating today, allow attackers to target PII…

4 Payment Security Trends for 2019

Visa’s chief risk officer anticipates some positive changes ahead. Change that leads to improvement is usually good, in my opinion, and in my role at Visa, I anticipate some healthy changes ahead for the payment industry. Of course, no one can perfectly predict what is to come, but here is my take on four notable…

Retail Security Hygiene: The Case for Seasonal Checkups

The winter holidays offer big potential for retailers, with some companies earning around 30 percent of their annual revenue during the season, according to the National Retail Federation. Big sales numbers, however, also drive increased risks of fraud and theft, and businesses are now spending on extra security measures to keep physical stores safe. But…

The untapped potential of machine learning for detecting fraud

E-commerce fraud protection company Signifyd has recently signed up behavioral analytics expert Long-Ji Lin to fill the position of Chief Scientist. “For advertisers, Lin perfected his model’s ability to predict which users would take each desired action, such as a clicking on an ad or purchasing from an advertiser. For e-commerce merchants, Lin is focused…