Gen AI
We've curated 125 cybersecurity statistics about Gen AI to help you understand how generative artificial intelligence is shaping threat landscapes, enhancing security practices, and influencing detection technologies in 2025.
Showing 61-80 of 125 results
Organisations that implement light-touch guardrails and nudges, rather than blanket blocking of Chinese GenAI tools, have seen up to a 72% reduction in sensitive data exposure, while increasing AI adoption by as much as 300%.
Legal documents made up 4.9% of sensitive data exposed through employee use of Chinese GenAI tools at work.
45% of cybersecurity practitioners expressed concern about near-term operational genAI risks such as inaccurate outputs.
33% of respondents are still not conducting regular security assessments, including penetration testing, for their Large Language Model (LLM) deployments.
68% of cybersecurity practitioners expressed concern about long-term genAI threats like adversarial attacks.
32% of LLM pentest findings are serious
Overall, 69% of serious findings across all pentest categories are resolved.
The resolution rate for high-severity vulnerabilities found in LLM pentests falls to just 21%.
48% of security leaders believe a “strategic pause” is needed to recalibrate defenses against genAI-driven threats.
36% of security leaders and practitioners admit that generative AI (genAI) is moving faster than their teams can manage.
72% of security leaders cite genAI-related attacks as their top IT risk.
36% of security leaders expressed concern about near-term operational genAI risks such as inaccurate outputs.
50% of respondents want more transparency from software suppliers about how they detect and prevent vulnerabilities.
46% of all survey respondents are concerned about sensitive information disclosure due to genAI.
42% of all survey respondents are concerned about genAI model poisoning or theft.
37% of all survey respondents are concerned about genAI training data leakage.
76% of security leaders (C-suite and VP level) are more concerned about long-term genAI threats like adversarial attacks.
Only 28% of transportation and logistics organizations have begun implementing solutions to mitigate GenAI network and security challenges.
56% of transportation and logistics organizations are either still evaluating GenAI risks or are unprepared for them.
28% of healthcare executives say they are likely to invest in generative AI for social engineering attacks.