AI
Cybersecurity statistics about ai
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21% of cybersecurity professionals say AI has changed their hiring plans and priorities in their organizations.
Nearly half (44%) of cybersecurity professionals agreed that their organization's cybersecurity hiring has not yet been affected by the introduction of AI security tools.
31% of cybersecurity professionals believe that AI will create new types of entry- and junior-level roles or increase demand.
44% of global consumers lack confidence in the travel industry's ability to protect them from AI-powered fraud, including identity theft and account takeover fraud.
44% of cybersecurity professionals report no impact on hiring from current or expected adoption of AI security tools.
Mid-to-large (2,500–9,999 employees) and smaller (100–499 employees) organizations each have 33% adoption rates of AI tools.
69% of respondents globally believe AI-powered fraud now poses a greater threat to personal security than traditional forms of identity theft.
Within both financial services and commercial/consumer sectors, 41% of professionals reported actively evaluating AI tools.
Leading industries in adoption, evaluation, or testing ot AI are industrial enterprises (38%), IT services (36%), commercial/consumer sectors (36%), and professional services organizations (34%).
Mid-sized (500–2,499 employees) and the smallest (1–99 employees) organizations show the lowest adoption rates of AI tools, with 20% in each group.
Financial services and the public sector currently report the lowest adoption rates of AI tools, at 21% and 16%, respectively.
Largest organizations (over 10,000 employees) lead in AI tool adoption, with 37% actively using them.
The top five areas where AI security tools are expected to have the most positive impact on operations in the shortest amount of time, by improving efficiencies and automating time-consuming tasks, are network monitoring and intrusion detection (60%), endpoint protection and response (56%), vulnerability management (50%), threat modeling (45%), and security testing (43%).
61% of respondents expect artificial intelligence to dominate SaaS security discussions in the coming year.
71% of all respondents already use AI to augment security.
21% of companies have low-readiness for AI.
70% of "moderately ready for AI" organizations have generative AI in active use.
Low-readiness 9for AI) organizations use AI in less than one-quarter of their apps.
The average organization uses three AI models.
"Moderately ready for AI" organizations currently have AI present in about one-third of applications.