CompTIA
All Statistics
36% of large companies (500-9999 employees) are concerned with the breadth of skills needed.
38% of very large companies (10000+ employees) are concerned with compliance with regulations.
4% of companies have below average capability in capturing data from all sources.
5% of companies have below average capability in finding patterns within data.
31% of small companies (<100 employees) are concerned with compliance with regulations.
58% of companies have high capability in securing data in cloud providers.
37% of very large companies (10000+ employees) are concerned with the breadth of skills needed.
94% of companies have a high or moderate focus on operational technology.
47% of large companies (500-9999 employees) are concerned with the emergence of generative AI.
41% of organizations surveyed believe that different security priorities for OT vs. IT must be understood better to properly secure OT.
95% of respondents indicated that Data analysis requires significant or moderate improvement.
59% of companies have high capability in securing data on endpoints.
66% of companies have dedicated employees for data security.
41% of respondents surveyed need significant skill improvement in endpoint security.
43% of medium companies (100-499 employees) are concerned with their reliance on data.
39% of companies have average capability in finding patterns within data.
55% of very large companies (10000+ employees) are concerned with their reliance on data.
46% of very large companies (10000+ employees) are concerned with the scale of attacks.
34% of medium companies (100-499 employees) are concerned with the breadth of skills needed.
56% of companies have high capability in finding patterns within data.
42% of respondents surveyed need significant skill improvement in regulatory landscape.
35% of small companies (<100 employees) are concerned with the breadth of skills needed.
52% of companies have high capability in mining data.
5% of companies have below average capability in manipulating data.
42% of medium companies (100-499 employees) are concerned with the variety of attacks.
34% of companies are exploring cybersecurity insurance.
36% of organizations reported a lack of appropriate data sets as a challenge in using AI for cybersecurity.
43% of organizations surveyed believe that risk assessment for OT systems must be understood better to properly secure OT.
49% of risks identified through analysis are viewed as cybersecurity concerns.
39% of elements involved in risk analysis are related to data classification.
37% of organizations say their AI priority within cybersecurity is improving internal efforts.
48% of companies are considering certifying current employees for skill improvement.
42% of companies are making greater investment in technology tools.
27% of organizations are implementing AI in low-priority systems.
50% of respondents surveyed need significant skill improvement in automation and AI.
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.
52% of companies rate themselves as having high capability in AI.
42% of companies face defining career pathways as a challenge in retaining cybersecurity talent.
35% of companies are exploring emerging cyber trends more.
37% of companies have average capability in securing data in cloud providers.
38% of companies have average capability in creating comprehensive data sets.
45% of elements involved in risk analysis are related to use of cloud computing.
46% of companies are considering expanding the use of third parties for skill improvement.
38% of elements involved in risk analysis are related to data ownership.
50% of respondents surveyed have expert-level skill in network/infrastructure security.
43% of small companies (<100 employees) are concerned with the emergence of generative AI.
48% of small companies (<100 employees) are concerned with the variety of attacks.
49% of very large companies (10000+ employees) are concerned with the variety of attacks.
37% of organizations reported a lack of cybersecurity metrics as a challenge in using AI for cybersecurity.