Fraud
We've curated 532 cybersecurity statistics about Fraud to help you understand how tactics like phishing, identity theft, and payment fraud are evolving in 2025, impacting businesses and consumers alike in our increasingly digital world.
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19% say they’d click on a social media ad or email link claiming to have the gift to get a high-demand gift during the holidays.
25% of traditional banks rate their fraud prevention as significantly ahead of competitors..
51% of payment platforms are evaluating AI-powered fraud detection tools.
49% describe a moderate increase in investigation time due to AI-powered attacks.
52% of fintechs are evaluating AI-powered fraud detection tools.
99% of organizations surveyed have experienced measurable fraud losses linked to AI-powered attacks in the past 12 months.
41% of fraud attacks targeting surveyed organizations are now AI-driven.
Only 7% report minimal impact on team workload due to AI-powered attacks.
62% of B2B SaaS respondents indicate their fraud teams spend significantly more time on manual processes due to AI-powered attacks.
Over 44% of respondents report that their teams now spend significantly more time on manual triage and investigation due to AI-powered attacks.
51% of payment platforms are hiring specialized fraud prevention talent.
The average loss due to AI-driven fraud is $414,000 per organization.
34% of respondents say their organization sees up to $1 million in annual fraud losses from AI-powered attacks.
Nearly half (48%) of organizations report annual losses between 100,000–500,000 due to AI-powered fraud
17% of organizations report annual losses under $100,000 due to AI-powered fraud.
93% of fraud teams report noticeable operational impacts from AI-driven threats.
44% of banking respondents indicate their fraud teams spend significantly more time on manual processes due to AI-powered attacks.
32% of fintech respondents indicate their fraud teams spend significantly more time on manual processes due to AI-powered attacks.
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.