42% of respondents surveyed have expert-level skill in automation and AI.

44% of respondents surveyed need significant skill improvement in access control and identity management.

43% of respondents surveyed need significant skill improvement in application security.

43% of respondents surveyed need significant skill improvement in data analysis.

42% of companies are considering exploring new uses of third parties for skill improvement.

42% of respondents surveyed have expert-level skill in endpoint security.

51% of respondents surveyed have expert-level skill in data security.

42% of respondents surveyed need significant skill improvement in regulatory landscape.

44% of respondents surveyed need significant skill improvement in knowledge of threat landscape.

41% of respondents surveyed need significant skill improvement in endpoint security.

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

35% of small companies (<100 employees) are concerned with the breadth of skills needed.

34% of medium companies (100-499 employees) are concerned with the breadth of skills needed.

56% of companies are considering new hiring for skill improvement.

54% of companies are considering training current employees for skill improvement.

51% of organizations surveyed focus on recruiting the right talent to manage AI-specific cybersecurity threats.

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

43% of healthcare organizations report lacking in-house expertise concerning the top barrier to an effective cybersecurity posture.

11.0% of organizations expect Staff, skills, and training in AI security to require the most new investment over the next 12 months.

61% of respondents indicate that adaptability is very important in determining a cybersecurity applicant's qualifications.