Report by Fingerprint
State of AI Fraud and Privacy Report
Key Findings
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.
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.
38% of fintechs rate their fraud prevention as significantly ahead of competitors..