AI
Cybersecurity statistics about ai
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37% of all survey respondents are concerned about genAI training data leakage.
70% of respondents in Singapore are concerned about AI-driven attacks.
More than 43% of Americans say AI-powered fraud detection would increase their confidence in their financial institution.
The resolution rate for high-severity vulnerabilities found in LLM pentests falls to just 21%.
73.5% of respondents in France are concerned about AI-driven attacks.
71%.of respondents in the US are concerned about AI-driven attacks.
41% of C-level executives cite adopting AI tools as their top focus, while 35% of mid-level managers prioritize strengthening cloud security and identity management.
A significant concern regarding AI is cyberattacks becoming more sophisticated due to AI, noted by 82% of state and local government IT leaders.
Only 41% of companies have AI policies and guidance in place, which relates to managing risks associated with AI.
Slightly more than a third (34%) of companies have implemented continuous monitoring for AI, highlighting a gap in managing AI-related risks and compliance failures.
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.
One-third of CISOs (33%) agree AI-driven analytics would help them perform their responsibilities more effectively.
Two-thirds of people are worried about the future of AI and how realistic scams are going to become.
Only 44% of healthcare IT leaders use AI-powered email threat detection.
Only 44% of healthcare IT leaders use AI-powered email threat detection.
89% of healthcare IT leaders say AI-powered email threat detection is critical.
51% of respondents said compliance and regulatory demands are the reason why AI workloads are in a combination of private cloud and on-premises environments.
71.4% of EMEA respondents intend to introduce AI into compliance workflows in the next year.
AI adoption ranks among the top three reasons for private cloud use.