VendorsARMO
ARMO
Cybersecurity reports and statistics published by ARMO
8 categories6 reports
Research Reports
Reports and publications from ARMO
GenAI in the Enterprise: It’s Getting Personal
11/13/2025
GenAI Data Exposure: What GenAI Usage Is Really Costing Enterprises
7/31/2025
Code Red: Analyzing China-Based App Use
7/17/2025
The State of Cloud Runtime Security
6/4/2025
The Rise of the AppSec Leader: Survey Findings
4/28/2025
From Payrolls to Patents: The Spectrum of Data Leaked into GenAI
1/1/2025
Recent Statistics & Reports
57% of sensitive data uploaded to generative AI tools is classified as business or legal data, with 35% of that involving contract or policy drafting.
11/16/2025•
Gen AISensitive dataBusiness data
15% of all sensitive data uploaded to generative AI tools involves personal or employee data, including identifiers such as names and addresses.
11/16/2025•
Gen AISensitive dataPersonal data
The average enterprise uploaded more than three times as much data to generative AI platforms in Q3 2025, with 4.4GB compared to 1.32GB in Q2 2025.
11/16/2025•
Gen AI
25% of all sensitive data disclosures involve technical data, with 65% of that consisting of proprietary source code copied into generative AI tools.
11/16/2025•
Gen AISensitive dataTechnical data
12% of all sensitive data exposures originate from personal accounts, including free versions of generative AI tools.
11/16/2025•
Gen AISensitive dataPersonal Gen AI account
The average organization used 27 distinct AI tools in Q3 2025, down from 23 new tools introduced in Q2 2025.
11/16/2025•
Gen AIAI tools
26.4% of all file uploads to generative AI tools contained sensitive data between July and September 2025, an increase from 22% in Q2 2025.
11/16/2025•
Gen AISensitive data
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.
7/31/2025•
AIGen AISensitive 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.
7/31/2025•
AIGen AIChinese Gen AI
13.7% of all sensitive prompts analysed in Q2 originated in Microsoft Copilot.
7/31/2025•
AIGen AIMicrosoft Copilot
1.8% of all sensitive prompts analysed in Q2 originated in Perplexity.
7/31/2025•
AIGen AIPerplexity
72.6% of all sensitive prompts analysed in Q2 originated in ChatGPT.
7/31/2025•
AIGen AIChatGPT
5.0% of all sensitive prompts analysed in Q2 originated in Google Gemini.
7/31/2025•
AIGen AIGoogle Gemini
In Q2, the average enterprise saw 23 previously unknown GenAI tools newly used by their employees.
7/31/2025•
AIGen AI
47.42% of sensitive employee uploads to Perplexity were from users with standard (non-enterprise) accounts.
7/31/2025•
AIGen AIPerplexity
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.
7/31/2025•
AIGen AISensitive data
535 separate incidents of sensitive exposure were recorded involving Chinese GenAI tools.
7/31/2025•
AIGen AIChinese Gen AI
7.95% of employees in the average enterprise used a Chinese GenAI tool.
7/31/2025•
AIGen AIChinese Gen AI
26.3% of ChatGPT use by employees was via personal accounts.
7/31/2025•
AIGen AIChatGPT
15% of Google Gemini use by employees was via personal accounts.
7/31/2025•
AIGen AIGoogle Gemini
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