AI
Cybersecurity statistics about ai
Showing 1041-1060 of 1625 results
Only 34.1% of Americans feel “very safe” with their current bank or credit union
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.
For younger age groups, 55% to 57% are extremely or very concerned about fraud.
70% of users still strongly prefer interacting with humans over AI agents.
72% of security leaders cite genAI-related attacks as their top IT risk.
37% of all survey respondents are concerned about genAI training data leakage.
34.3% of iGaming operators saw a large spike in AI-powered fraud.
More broadly, 60% of survey respondents are concerned about the impact of AI on the privacy and security of their digital identities.
78% of iGaming operators encountered a growth in AI-generated fake documents in the past year.
70% of respondents in Singapore are concerned about AI-driven attacks.
71%.of respondents in the US are concerned about AI-driven attacks.
More than 43% of Americans say AI-powered fraud detection would increase their confidence in their financial institution.
44% of those who would not use AI agents state, “I don’t trust AI agents with my personal data”.
43.8% of iGaming operators reported a noticeable increase in AI-powered fraud over the past year.
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.
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 41% of companies have AI policies and guidance in place, which relates to managing risks associated with AI.