Gen AI
We've curated 145 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 101-120 of 145 results
Enterprise PCs are logging millions of visits to popular generative AI platforms. Thousands of these visits are specifically landing on DeepSeek.
Enterprise PCs are logging millions of visits to popular generative AI platforms. Thousands of these visits are specifically landing on DeepSeek.
28% of healthcare executives say they are likely to invest in generative AI for social engineering attacks.
Manufacturers investing in generative and causal AI increased 12% year-over-year.
A third of respondents indicate that GenAI is either being integrated or is actively transforming their operations.
This number of blocked requests represented about 12% of all generative AI queries processed by DNSFilter in March.
DNSFilter blocked over 60 million generative AI requests in March.
There was a 2,000% rise in malicious sites containing "openai" in their name between April 2024 and April 2025
33% of SOCs are using GenAI for Threat intelligence analysis.
31% of SOCs are using GenAI for Querying security data.
In March, Notion accounted for 93% of all blocked generative AI queries, significantly more than the combined number for Microsoft Copilot, SwishApps, Quillbot, and OpenAI.
29% of SOCs are using GenAI for Writing/editing security policies.
Security for generative AI has quickly risen as a top spending priority, securing the second spot in ranked-choice voting, just behind cloud security.
Since January 2024, DNSFilter has been processing a monthly average of over 330 million queries that fall under the generative AI category.
There was a 92% decrease in malicious and fake ChatGPT and other generative AI sites between April 2024 and April 2025.
Nearly 70% of organizations identify AI’s fast-moving ecosystem, particularly in generative AI, as the top GenAI-related security risk.
51% of employees are using approved third-party GenAI tools.
22% of employees have unrestricted access to public GenAI.
60% of organizations lack confidence in detecting unregulated AI deployments (shadow AI).
60% of IT teams are unaware of employee interactions with GenAI.