Artificial intelligence for fraud detection to triple by 2021
Summary
Other notable trends include: “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. 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 visualisation tool allows users to analyse 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. We’re no longer restricted to merely reacting to fraud after it happens - with the right AI-enabled tools in place, anti-fraud teams can now begin to intelligently predict potential danger spots and flag up early warning signs to ensure efforts are co-ordinated and effective,” said Laurent Colombant, Continuous Controls and Fraud Manager at SAS. “The emergence of AI, machine learning and predictive modelling is helping investigators to pre-emptively detect fraudulent activity, allowing them to stay ahead of the increasingly sophisticated techniques being employed by criminals.” 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 23rd-28th June in Austin, Texas.
Classifications
AskAI Classifications
LabelsLinked Companies
