2016 Faces of Fraud: The Analytics Approach to Fraud Prevention

From traditional account takeover and fraudulent benefits schemes to the latest nuances of business email compromise, financial and government organizations continue to be victimized by persistent fraudsters. And while anti-fraud technologies also continue to evolve, are organizations actually getting better at detecting and responding to fraud?

Take the 2016 Faces of Fraud Survey to learn more about the Analytics Approach to Fraud Prevention. Participate in this survey below and help determine:

  • The top forms of fraud afflicting financial and government organizations in 2016
  • Biggest gaps in organizations' efforts to detect and prevent fraud
  • How organizations are leveraging new data analytics tools to improve their abilities to spot and then stop today's top scams

This survey is now closed. Thank you for your participation.

Survey Results

2016 Faces of Fraud: The Analytics Approach to Fraud Prevention

Only 34 percent of surveyed security leaders say they have high confidence in their organization's ability to detect and prevent fraud before it results in serious business impact. Among the reasons why they lack confidence:

  • Today's fraud schemes are too sophisticated and evolve too quickly (56 percent of respondents);
  • Customers and/or partners lack sufficient awareness to protect themselves from socially-engineered schemes (56 percent);
  • Employees lack that same awareness (52 percent).

Download this survey report for a detailed look at the forms of fraud afflicting financial and government organizations; their current security controls - and gaps; and where they plan their biggest anti-fraud investments for 2017.

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