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 1141-1160 of 1475 results
57% of senior network decision-makers in manufacturing and automotive industries do not believe that AI has been overhyped and state that they are already seeing real benefits across their businesses.
99% of organizations see value in using AI to support automatically generating training campaigns and workflows.
A significant minority (37%) of manufacturing and automotive decision-makers foresee AI causing network costs to rise.
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.
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.
Over half of respondents (57%) in manufacturing and automotive industries believe AI will reduce their network costs over the next three years.
Across both sectors (manufacturing and automotive), 70% of respondents expect DDoS attack mitigation to be largely driven by AI (as opposed to humans) within four years.
89% of organizations use AI to understand threats better.
85% of organizations use AI for threat detection.
60% of IT teams are unaware of employee interactions with GenAI.
22% of employees have unrestricted access to public GenAI.
Only 48% believe their teams fully grasp how malicious actors are using AI to execute sophisticated attacks.
51% of employees are using approved third-party GenAI tools.
Only 49% of respondents are confident their employees fully understand AI related threats.
86% of organizations have experienced AI-related security incidents in the last year.
60% of organizations lack confidence in detecting unregulated AI deployments (shadow AI).
70% of organizations use AI for response and recovery.
56% of financial professionals cite social engineering as a significant tactic powered by AI.
43% of organizations use AI to anticipate and prevent attacks.
89% of banks prioritise explainability and transparency in their AI systems.