25.33% of respondents said security tools missing the fraud attack was a factor in fraudsters successfully bypassing enterprise systems.

34.4% of finance and cybersecurity leaders at enterprises stated that gaps between finance and security teams were a factor in a recent fraud incident or near miss.

Nearly half (47.6%) of enterprises reporting direct losses lost $500K or more in a single fraud incident.

34.5% of finance and cybersecurity leaders at enterprises cited misalignment between finance and security groups as a factor in a recent fraud or near miss.

Threat detection/escalation process (27.85%) was among the controls with the highest failure rates in enterprise fraud attacks.

15.7% of enterprises face fraud attacks weekly or more.

One in four organizations lost over $1 million from a single fraud incident.

40.57% of respondents said email looking legitimate was a factor in fraudsters successfully bypassing enterprise systems.

Email and messaging security (44.6%) was among the controls with the highest failure rates in enterprise fraud attacks.

Employee security awareness training (32.2%) was among the controls with the highest failure rates in enterprise fraud attacks.

The top factor cited for attackers successfully bypassing systems was human error at 46.10%.

Bank account validation tools (26.5%) was among the controls with the highest failure rates in enterprise fraud attacks.

41% of students know someone who has been a victim of online fraud, indicating second-hand experience with fraud.

29.19% of enterprises that experienced losses lost between $500K–$1M.

Only 27% of finance and cybersecurity leaders at enterprises said fraud prevention ownership is shared between finance and security teams.

40% of students believe the responsibility for stopping AI-powered fraud lies with government agencies.

31.62% of respondents said fraud crossing multiple systems was a factor in fraudsters successfully bypassing enterprise systems.

Telecommunications experienced the highest overall fraud rates: 10.15% identity theft and 2.9% synthetic fraud.

Auto lending: Identity theft averages 3.28%, while synthetic fraud accounts for 0.80%.

Credit cards: Identity theft rate averages 2.68%, with 0.37% involving synthetic fraud.