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Cybersecurity reports and statistics published by Fingerprint
8 categories1 reports
Research Reports
Reports and publications from Fingerprint
Recent Statistics & Reports
25% of traditional banks rate their fraud prevention as significantly ahead of competitors..
10/14/2025•
FraudAI-driven fraudFraud prevention
Only 7% report minimal impact on team workload due to AI-powered attacks.
10/14/2025•
FraudAI-driven fraudFraud consequences
49% describe a moderate increase in investigation time due to AI-powered attacks.
10/14/2025•
FraudAI-driven fraudFraud consequences
52% of fintechs are evaluating AI-powered fraud detection tools.
10/14/2025•
FraudAI-driven fraudFraud detection
51% of payment platforms are evaluating AI-powered fraud detection tools.
10/14/2025•
FraudAI-driven fraudFraud detection
41% of fraud attacks targeting surveyed organizations are now AI-driven.
10/14/2025•
FraudAI-driven fraud
99% of organizations surveyed have experienced measurable fraud losses linked to AI-powered attacks in the past 12 months.
10/14/2025•
FraudAI-driven fraudFraud loss
62% of B2B SaaS respondents indicate their fraud teams spend significantly more time on manual processes due to AI-powered attacks.
10/14/2025•
FraudAI-driven fraudFraud consequences
51% of payment platforms are hiring specialized fraud prevention talent.
10/14/2025•
FraudAI-driven fraudFraud prevention
Over 44% of respondents report that their teams now spend significantly more time on manual triage and investigation due to AI-powered attacks.
10/14/2025•
FraudAI-driven fraudFraud consequences
The average loss due to AI-driven fraud is $414,000 per organization.
10/14/2025•
FraudAI-driven fraudFraud loss
34% of respondents say their organization sees up to $1 million in annual fraud losses from AI-powered attacks.
10/14/2025•
FraudAI-driven fraudFraud loss
Nearly half (48%) of organizations report annual losses between 100,000–500,000 due to AI-powered fraud
10/14/2025•
FraudAI-driven fraudFraud loss
93% of fraud teams report noticeable operational impacts from AI-driven threats.
10/14/2025•
FraudAI-driven fraudFraud consequences
17% of organizations report annual losses under $100,000 due to AI-powered fraud.
10/14/2025•
FraudAI-driven fraudFraud loss
44% of banking respondents indicate their fraud teams spend significantly more time on manual processes due to AI-powered attacks.
10/14/2025•
FraudAI-driven fraudFraud consequences
32% of fintech respondents indicate their fraud teams spend significantly more time on manual processes due to AI-powered attacks.
10/14/2025•
FraudAI-driven fraudFraud consequences
27% of respondents report that privacy-first technologies severely impact their fraud detection capabilities.
10/14/2025•
FraudAI-driven fraudFraud detection
66% of B2B SaaS respondents express high confidence in current fraud prevention tools to detect AI-powered attacks.
10/14/2025•
FraudAI-driven fraudFraud prevention
44% of respondents in sectors other than B2B SaaS/overall average are very confident in current fraud prevention tools to detect AI-powered attacks.
10/14/2025•
FraudAI-driven fraudFraud prevention
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