AI
We've curated 1475 cybersecurity statistics about AI to help you understand how machine learning algorithms, automated threat detection, and AI-driven defenses are shaping the landscape of cybersecurity in 2025.
Showing 1121-1140 of 1475 results
58% of respondents reported difficulty integrating the technology with existing systems as a barrier to AI adoption.
45% of businesses plan to increase investment in AI over the next two years.
56% of global businesses are scaling or fully implementing AI.
Small business owners business owners have a generally positive attitude toward AI-based fraud protection at 69%.
40% of small business owners have experienced AI-driven fraud personally.
50% of small business owners owners report that their financial institutions use AI-powered fraud detection tools.
85% of small business owners said they are extremely, very, or moderately concerned about rising AI-driven fraud.
Over 90% of manufacturing and automotive leaders display a chronic lack of faith in current AI-based cybersecurity.
99% of organizations see value in using AI to support automatically generating training campaigns and workflows.
Nearly all of the organizations surveyed (99%) are in favour of including AI in future SAT tools and workflows.
95% of organizations see value in using AI to Automatically create individualized attack simulations based on individual user profiles.
90% of leaders in manufacturing and automotive believe that hackers are more likely to trick AI-based cybersecurity tools than those operated by humans.
33% of decision-makers in the automotive sector remain wary, saying that they may implement AI but are currently unsure if such technologies will achieve all the claimed benefits.
When asked where they felt AI will have the biggest impact, 32% of manufacturing leaders primarily say real-time detection and response.
Almost one in four (24 percent) of manufacturing and automotive decision-makers say that they are already facing DDoS attacks specifically engineered to circumvent AI-driven cybersecurity defenses.
Automotive leaders suggest that dynamic and adaptive defense mechanisms, and incident response and management, are the areas where AI will have a big impact, with 28% citing each.
Over half of respondents (57%) in manufacturing and automotive industries believe AI will reduce their network costs over the next three years.
95% of organizations see value in using AI to Automate the creation of training videos.
A significant minority (37%) of manufacturing and automotive decision-makers foresee AI causing network costs to rise.
19% of manufacturing and automotive decision-makers think that AI has been overhyped in the short-term but foresee substantial mid- to long-term benefits.