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Tia Ilori, Senior Director of global fraud and breach investigations at Visa, joins us to talk with Michael Moeser, PaymentsSource's senior analyst, about the new attacks and fraud trends that have emerged since the start of the pandemic.
June 30 -
In response to fraudsters seeking to capitalize on the COVID-19 influenced surge in e-commerce, Ekata has launched a new global digital ID verification tool to combat cybercrime.
June 16 -
Artificial intelligence and machine learning are some examples of technology available now to help combat money launderers profiting from the pandemic.
May 21Consilient -
Getting rid of passwords is easier in concept than practice, with hundreds of initiatives designed to build something more digital, flexible and transportable. But none have taken hold, causing one developer to try an approach that rejects most of the prevailing methods.
May 19 -
Artificial intelligence and machine learning are some examples of technology available now to help combat money launderers profiting from the pandemic.
May 15Consilient -
Tokenization and buy buttons began, in part, as ways to calm the security concerns of online shoppers who were wary of moving away from plastic. They’re now becoming a way to keep a health and economic crisis from turning into a security problem as in-store checkout quickly gives way to apps and websites.
May 14 -
The U.K.’s growing panic about the spread of coronavirus has created an open season for fraudsters, with government agencies and cybersecurity companies reporting unprecedented levels of criminal activity since the virus began sweeping across the globe in January.
April 2 -
As coronavirus forces most shopping to occur online, merchants will likely see their product return policies tested by both good customers and the unsavory ones who abuse those policies for profit.
March 24 -
Digital fraud protection provider Kount has launched a security layer designed to prevent account takeover.
March 17 -
Artificial intelligence has given merchants and banks handling payment data a fighting chance against fraud because it essentially pits machine against machine in compiling data and establishing prevention algorithms.
March 10