We've curated 3 cybersecurity statistics about Fraud detection to help you understand how technologies and practices, like machine learning and behavior analysis, are evolving to combat deceptive tactics in 2025.
Showing 1-10 of 10 results
52% of fintechs are evaluating AI-powered fraud detection tools.
51% of payment platforms are evaluating AI-powered fraud detection tools.
27% of respondents report that privacy-first technologies severely impact their fraud detection capabilities.
44% of respondents in sectors other than B2B SaaS/overall average are very confident in current fraud prevention tools to detect AI-powered attacks.
49% describe moderate impacts of privacy-first technologies on fraud detection capabilities.
66% of B2B SaaS respondents express high confidence in current fraud prevention tools to detect AI-powered attacks.
33% of banking respondents are evaluating AI-powered fraud detection tools.
42% of UK CFOs surveyed identified fraud detection and prevention as an area of their finance operations they would most like to improve through automation.
More than 43% of Americans say AI-powered fraud detection would increase their confidence in their financial institution.
Nearly 72% of Americans are either “somewhat,” “very,” or “extremely” interested in AI-powered fraud detection tools.