Fraud Detection
We've curated 7 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.
Related Topics
Showing 1-7 of 7 results
38% of internal audit functions test or strengthen fraud prevention and detection.
23% of UK consumers cite fraud detection and prevention as the most positive impact of AI in banking in 2025.
44% of respondents in sectors other than B2B SaaS/overall average are very confident in current fraud prevention tools to detect AI-powered attacks.
66% of B2B SaaS respondents express high confidence in current fraud prevention tools to detect AI-powered attacks.
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.