AI
Cybersecurity statistics about ai
Showing 881-900 of 1625 results
AI security incidents have doubled since 2024
7.95% of employees in the average enterprise used a Chinese GenAI tool.
2.5% of all sensitive prompts analysed in Q2 originated in Claude.
When considering the "AI Paradox," leaders at industrial organizations are focused on strategic risk, with data security being a top concern at 40%.
1.8% of all sensitive prompts analysed in Q2 originated in Perplexity.
72.6% of all sensitive prompts analysed in Q2 originated in ChatGPT.
Generative AI (GenAI) was involved in 70% of real-world AI security incidents.
5.0% of all sensitive prompts analysed in Q2 originated in Google Gemini.
Code leakage was the most common type of sensitive data sent to GenAI tools.
Agentic AI caused the most dangerous failures—crypto thefts, API abuses, and legal disasters, and Supply chain attacks.
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.
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.
In Q2, the average enterprise saw 23 previously unknown GenAI tools newly used by their employees.
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.
15% of Google Gemini use by employees was via personal accounts.
46% of security leaders are uneasy about AI-driven features and large language models.
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.
2.1% of all sensitive prompts analysed in Q2 originated in Poe.
535 separate incidents of sensitive exposure were recorded involving Chinese GenAI tools.
47.42% of sensitive employee uploads to Perplexity were from users with standard (non-enterprise) accounts.