LexisNexis Risk Solutions Study Shows Cross-Industry Fraud is Widespread and has Substantial Financial Impact
Cross-industry fraud is defined by a fraud case where the perpetrator's activity touches multiple industries and organizations, habitually exploiting system gaps. For example, a fraudster might commit claims fraud against an auto insurer and also commit government benefits fraud or banking fraud.
"LexisNexis conducted this research to shed light on a problem that as a society we have not collectively addressed, but that is a financial and reputational exposure for organizations," said
Eighty-two percent of respondents have some direct involvement in fraud mitigation programs, while the remaining respondents have oversight of these programs. Almost half of companies responding spend more than
Fraud investigators say that known fraud data is highly valuable, and in the fight against fraud, other key findings also include:
- 84 percent of respondents believe access to within-industry data on fraud would be valuable, and 75 percent see access to cross-industry data as valuable.
- 89 percent see value in having a universal and consistent way of describing fraud across industries.
- Three quarters of respondents are using data analytics solutions somewhat or very frequently for fraud mitigation in their organizations, mostly driven by the need for compliance and a desire for accuracy.
The LexisNexis® Fraud Defense Network commissioned the national study to gain insights about how frequently fraud mitigation professionals encounter fraud cases from other companies and industries, and to understand how these professionals are using data analytics solutions for fraud detection. The research was conducted in two phases over the course of a year, and closed in
To learn more about the LexisNexis Fraud Defense Network and read more about the LexisNexis Fraud Mitigation Study, visit http://www.lexisnexis.com/risk/fraud-defense-network/.
About
i Editors' Note: The LexisNexis® Fraud Mitigation Study was conducted in two waves from 2015-16 and has a confidence level of 95 percent.
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