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This criminal activity can be difficult to detect, as all of the data matches and appears valid.
Among the study’s findings: a majority of respondents believe today’s fraud schemes are too sophisticated and evolve too quickly to keep pace; just 38 percent of those responding have high confidence in their institution’s ability to detect and prevent fraud; and only 13 percent of respondents believe their organization is identifying fraud in real time.
Avivah Litan, VP and Distinguished Analyst at “I’m encouraged by the advances in and fine-tuning of machine learning models and other forms of advanced analytics being applied to the fraud use case, and the use of mega global sets of shared data to inform those models.
I just wanna have fun, find the love of my life, and be happy with him.
IT security experts commented below on the new “2017 Faces of Fraud Survey” of US banks and financial institutions issued today by ISMG Research & VASCO Data Security.
While it requires a little more effort for consumers, it also makes them more aware and conscious of security best practices.