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Study: AI for fraud detection to triple by 2021

Advanced analytics and biometrics becoming central to anti-fraud programs, reveals survey by the Association of Certified Fraud Examiners, in partnership with SAS


News provided by

SAS

Jun 24, 2019, 07:56 ET

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AUSTIN, Texas, June 24, 2019 /PRNewswire/ -- While only 13% of organizations use artificial intelligence (AI) and machine learning to detect and deter fraud, another 25% plan to adopt such technologies in the next year or two – a nearly 200% increase. Fraud examiners revealed this and other anti-fraud tech trends in a cross-industry, global survey by the Association of Certified Fraud Examiners (ACFE), developed in collaboration with analytics leader SAS.

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Key findings from the ACFE Anti-Fraud Technology Benchmarking Report, developed in collaboration with SAS.
Key findings from the ACFE Anti-Fraud Technology Benchmarking Report, developed in collaboration with SAS.

The inaugural Anti-Fraud Technology Benchmarking Report examines data provided by more than 1,000 ACFE members about their employer organizations' use of technology to fight fraud. Other notable trends include:

  • The rise of biometrics. About one in four organizations (26%) use biometrics as part of their anti-fraud programs; another 16% foresee deploying biometrics by 2021.
  • Increasing budgets. More than half of organizations (55%) plan to increase their anti-fraud tech budgets over the next two years.
  • Changing data analysis techniques. By 2021, nearly three-quarters of organizations (72%) are projected to use automated monitoring, exception reporting and anomaly detection. Similarly, about half of organizations anticipate employing predictive analytics/modeling (52%; up from 30%) and data visualization (47%; currently 35%).

"As criminals find new ways to exploit technology to commit schemes and target victims, anti-fraud professionals must likewise adopt more advanced technologies to stop them," said Bruce Dorris, JD, CFE, CPA, President and CEO of the ACFE. "But which technologies are most effective in helping organizations manage rising fraud risks? The answer to this question can be crucial in successfully implementing new anti-fraud technologies."

Dive deeper online: Trends by industry and more
Complementing the benchmarking report, SAS' online data visualization tool allows users to analyze survey data by industry, geographic region and company size. Survey respondents hail from 24 industries – most prevalently banking/financial services (21%) and government/public administration (17%) – and span the globe. The size of their employer organizations ranges from less than 100 employees to more than 10,000.

"Understanding peers' technologies and strategies can help organizations determine where the industry is headed and guide their anti-fraud tech investments," said James Ruotolo, Senior Director of Products and Marketing for Fraud and Security Intelligence at SAS. "The dramatic rise of AI, machine learning and predictive modeling reveals that, beyond the hype, advanced analytics is helping investigators keep steps ahead of increasingly sophisticated fraudsters."

The Anti-Fraud Technology Benchmarking Report debuted at the sold-out 30th annual ACFE Global Conference, convening more than 3,000 fraud-fighting professionals on June 23-28 in Austin, TX. The report's supporting sponsors include SAS alliance members Intel and Capgemini.

About the Association of Certified Fraud Examiners
Based in Austin, Texas, the ACFE is the world's largest anti-fraud organization and premier provider of anti-fraud training and education. Together with more than 85,000 members, the ACFE is reducing business fraud worldwide and inspiring public confidence in the integrity and objectivity within the profession. For more information, visit ACFE.com.

About SAS
SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®.

SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2019 SAS Institute Inc. All rights reserved.

SAS Editorial Contact:
Danielle M. Bates
[email protected]
919-531-1959
sas.com/news

ACFE Editorial Contact:
Sarah Hofmann
[email protected]
512-478-9000
acfe.com

SOURCE SAS

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