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 21-40 of 125 results
70% of students are early adopters of generative AI and use it to create or modify images.
In the U.S., 80% of CISOs express concern over potential customer data loss via public GenAI platforms.
64% of global CISOs say enabling GenAI tool use is a strategic priority over the next two years.
67% of organisations are implementing usage guidelines for GenAI.
More than half (59%) of organisations restrict employee use of GenAI tools altogether.
Three in five CISOs (60%) worry about customer data loss via public GenAI tools.
15% of Google Gemini use by employees was via personal accounts.
26.3% of ChatGPT use by employees was via personal accounts.
13.7% of all sensitive prompts analysed in Q2 originated in Microsoft Copilot.
72.6% of all sensitive prompts analysed in Q2 originated in ChatGPT.
1.8% of all sensitive prompts analysed in Q2 originated in Perplexity.
Of these incidents involving Chinese GenAI tools, the exposed data types included: 32.8% involving source code, access credentials, or proprietary algorithms; 18.2% including M&A documents and investment models; 17.8% exposing PII such as customer or employee records; and 14.4% containing internal financial data.
Of analyzed prompts and files submitted to 300 GenAI tools and AI-enabled SaaS applications between April and June, 22% of files (totaling 4,400 files) and 4.37% of prompts (totaling 43,700 prompts) were found to contain sensitive information.
The average enterprise uploaded 1.32GB of files (half of which were PDFs) to GenAI tools and AI-enabled SaaS applications in Q2. A full 21.86% of these files contained sensitive data.
Code leakage was the most common type of sensitive data sent to GenAI tools.
7.95% of employees in the average enterprise used a Chinese GenAI tool.
535 separate incidents of sensitive exposure were recorded involving Chinese GenAI tools.
68% of security leaders state that their boards now view the secure deployment of generative AI as a critical priority.
Sensitive data in files sent to GenAI tools showed a disproportionate concentration of sensitive and strategic content compared to prompt data, with files being the source of 79.7% of all stored credit card exposures, 75.3% of customer profile leaks, 68.8% of employee PII incidents, and ◦ 52.6% of total exposure volume in financial projections.
47.42% of sensitive employee uploads to Perplexity were from users with standard (non-enterprise) accounts.