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..

Over 61% of organizations that have lost money in a deepfake attack reported losses in excess of $100,000.

Over 40% of organizations faced three or more deepfake attacks.

Recorded audio/voice manipulations currently account for 52% of deepfake threat vectors.

The percentage of respondents who were 'very concerned' about the threat deepfakes pose to their organizations increased by over 15% from last year.

11.6% of organizations have provided no deepfake-related cybersecurity training.

Static image manipulation attacks represent 59% of deepfake threat vectors.

Nearly 19% of organizations that have lost money in a deepfake attack reported having lost half-a-million dollars or more.

94% of IT professionals expressed at least some level of concern about deepfake-related threats to their organizations.

Only 8.4% of organizations saw first-try deepfake simulation pass rates of 80% or above in deepfake-related cybersecurity training.

73% of respondents were 'very confident' in their organizations' defenses against deepfake attacks in 2025.

Live voice-only call deepfake attacks currently account for 41% of deepfake threat vectors.

88% of organizations have provided deepfake-related cybersecurity training.

Over 63% of respondents reported being “very concerned” about the threat deepfakes pose to their organizations.

Deepfake-related incidents targeting organizations increased 10% year-over-year.

The percentage of organizations that said deepfake defense will be a top priority was 43% in 2024.

71% of organizations say deepfake defense will be a top priority for their cybersecurity strategies over the next 12-18 months.