Fraud detection
We've curated 7 cybersecurity statistics about Fraud detection to help you understand how advanced techniques are identifying deceptive practices, analyzing transaction patterns, and leveraging machine learning to combat financial fraud in 2025.
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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.