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Roughly 1 in 5 of all device identification events in 2025 involved a VPN connection.

Less than 1% of mobile browser sessions showed tampering.

4.4% of desktop browser sessions in 2025 showed signs of tampering.

25% of traditional banks rate their fraud prevention as significantly ahead of competitors..

51% of payment platforms are evaluating AI-powered fraud detection tools.

The average loss due to AI-driven fraud is $414,000 per organization.

Mobile browsers make up 71% of all browser-based device identification events, yet desktop remains the primary target for sophisticated fraud.

96% of all detected automated activity on desktop devices is associated with fraudulent or abusive behavior.

The rate of browser tampering on desktop nearly doubled between 2024 and 2025.

66% of B2B SaaS respondents express high confidence in current fraud prevention tools to detect AI-powered attacks.

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.

Nearly half (48%) of organizations report annual losses between 100,000–500,000 due to AI-powered fraud

38% of fintechs rate their fraud prevention as significantly ahead of competitors..

34% of respondents say their organization sees up to $1 million in annual fraud losses from AI-powered attacks.

44% of respondents in sectors other than B2B SaaS/overall average are very confident in current fraud prevention tools to detect 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.

17% of organizations report annual losses under $100,000 due to AI-powered fraud.

44% of banking 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.

33% of banking respondents are evaluating AI-powered fraud detection tools.

32% of fintech respondents indicate their fraud teams spend significantly more time on manual processes due to AI-powered attacks.

49% describe moderate impacts of privacy-first technologies on fraud detection capabilities.

93% of fraud teams report noticeable operational impacts from AI-driven threats.

51% of payment platforms are hiring specialized fraud prevention talent.