Live video manipulation deepfake attacks currently account for 41% of deepfake threat vectors.

The percentage of respondents who were 'very confident' in their organizations' defenses against deepfake attacks increased by over 30% in just one year.

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

85% of organizations experienced one or more deepfake-related incidents in the past 12 months.

55% of organizations targeted by deepfake attacks suffered financial losses averaging more than $280,000.

Over 5% of organizations targeted by deepfake-related incidents have lost $1 million dollars or more.

1% of organizations said they had no plans to invest in deepfake defense.

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

The first-try deepfake-simulation pass rate average for organizations was 44% in deepfake-related cybersecurity training.

99% of respondents claim confidence in their organizations' defenses against deepfake attacks.

16% of schools are not sure if they have experienced students creating harmful AI content (deepfakes of peers, etc.).

In Singapore, 39% of respondents reported high concerns of deepfake impersonations.

30% of schools have experienced students creating harmful AI content (deepfakes of peers, etc.).

52% of faculty are concerned about deepfake impersonation of staff/students due to AI.

54% of schools have not experienced students creating harmful AI content (deepfakes of peers, etc.).

22% of respondents are concerned about targeted deepfakes.

59% of organizations report an increasing difficulty for employees to discern real from not real.

70% of students have seen a deepfake in the last 6 months.

38% of organizations admit to being underprepared for AI-driven social engineering threats such as automated attacks, deepfake-based videos, and voice scams.

62% of students are confident in their ability to spot a deepfake.