Skip to main content
HomeTopicsFraud

Fraud

We've curated 570 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.

Showing 141-160 of 570 results

49% describe a moderate increase in investigation time due to AI-powered attacks.

Fingerprint10/14/2025
AI-driven fraudFraud consequences

52% of fintechs are evaluating AI-powered fraud detection tools.

Fingerprint10/14/2025
AI-driven fraudFraud detection

41% of fraud attacks targeting surveyed organizations are now AI-driven.

Fingerprint10/14/2025
AI-driven fraud

62% of B2B SaaS respondents indicate their fraud teams spend significantly more time on manual processes due to AI-powered attacks.

Fingerprint10/14/2025
AI-driven fraudFraud consequences

99% of organizations surveyed have experienced measurable fraud losses linked to AI-powered attacks in the past 12 months.

Fingerprint10/14/2025
AI-driven fraudFraud loss

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

Fingerprint10/14/2025
AI-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.

Fingerprint10/14/2025
AI-driven fraudFraud prevention

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

Fingerprint10/14/2025
AI-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.

Fingerprint10/14/2025
AI-driven fraudFraud consequences

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

Fingerprint10/14/2025
AI-driven fraudFraud detection

Only 7% report minimal impact on team workload due to AI-powered attacks.

Fingerprint10/14/2025
AI-driven fraudFraud consequences

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

Fingerprint10/14/2025
AI-driven fraudFraud consequences

44% of banking respondents indicate their fraud teams spend significantly more time on manual processes due to AI-powered attacks.

Fingerprint10/14/2025
AI-driven fraudFraud consequences

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

Fingerprint10/14/2025
AI-driven fraudFraud prevention

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

Fingerprint10/14/2025
AI-driven fraudFraud detection

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

Fingerprint10/14/2025
AI-driven fraudFraud consequences

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

Fingerprint10/14/2025
AI-driven fraudFraud loss

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

Fingerprint10/14/2025
AI-driven fraudFraud loss

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

Fingerprint10/14/2025
AI-driven fraudFraud detection

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

Fingerprint10/14/2025
AI-driven fraudFraud loss