37% of organizations say their AI priority within cybersecurity is improving internal efforts.

48% of companies are considering certifying current employees for skill improvement.

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

42% of companies are making greater investment in technology tools.

27% of organizations are implementing AI in low-priority systems.

44% of organizations surveyed believe that types of threats that can impact OT must be understood better to properly secure OT.

50% of respondents surveyed need significant skill improvement in automation and AI.

52% of victims of other types of mobile scams (i.e., not extortion) are Gen Z or Millennial.

24% of victims of AI-driven scams had their personal information stolen.

53% of extortion victims are non-white.

43% of Gen Z users have been a target of AI-driven scams.

69% of healthcare IT leaders feel pressured to adopt AI faster than they can secure it.

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

Talent gaps are most acute in the area of cybersecurity for AI, affecting 60% of all companies surveyed.

46% of companies place a higher priority on incident response.

The feeling that the current approach is 'good enough' is the second-greatest challenge in improving the execution of a strong cybersecurity strategy for business leaders.

94% of healthcare organizations have begun updating security policies to address generative AI threats in email.

41% of Gen Z households reported unauthorized in-app purchases.

Nearly half (48%) of organizations report annual losses between 100,000–500,000 due to AI-powered fraud

28% of Gen Z parents admit to sharing passwords verbally or through text or email.