Data Exposure
We've curated 27 cybersecurity statistics about Data exposure to help you understand how unauthorized access and leaks of sensitive information are impacting organizations and individuals in 2025.
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Company breaches are the leading cause of consumer data exposure at 30%.
The percentage of users uploading data to personal cloud applications increased by 21% over the past year, with 31% of users in the average organization uploading data monthly.
In Q3 2025, over 200,000 passwords, hundreds of credit card records, and more than 4 million browser cookies were harvested by the PXA Stealer campaign.
Roughly 29% of reviewed iOS shopping apps access user data without declaring it in their App Store Privacy Overview.
96% of organizations surveyed experienced data loss or exposure from misdirected email in the past year.
45% of respondents are very concerned about sensitive data being shared with generative AI tools like ChatGPT.
21% of security professionals are concerned about whistleblowers sharing or exposing data.
Only 12% of organizations feel fully prepared to detect or respond to sensitive data being shared with GenAI tools.
34% of organizations reported sensitive data exposure and privacy incidents as the most common API security problem.
Nearly 7 in 10 retail & consumer goods organizations had APIs with misconfigured authorizations or data exposure issues. These retail & consumer goods APIs averaged 15 vulnerabilities per API.
Medical identity theft victims face $13,500 in average costs and 200+ hours of resolution.
Over 259 million Americans — roughly 81% of the population — had their protected health information (PHI) compromised in 2024.
The average cost of a healthcare data breach has reached $9.8 million. This average cost is nearly twice as high as the cross-industry average of $4.45 million, according to industry reports.
Individual breached records surged by more than 186%, revealing sensitive information such as passwords, emails, and credit card details.
R&D materials account for 17.1% of sensitive data going into AI.
39.5% of AI tools have the key risk factor of inadvertent exposure of user interactions and training data.
34.4% of AI tools have user data accessible to third parties without adequate controls.
HR and employee records account for 4.8% of sensitive data going into AI.
Sales and marketing data constitutes 10.7% of sensitive data going into AI.
83.8% of enterprise data input into AI tools flows to platforms classified as medium, high, or critical risk.