Detected sensitive-data events are led by secrets and credentials (47.9%), followed by financial information (36.3%) and health-related data (15.8%).
Detected sensitive-data events are led by secrets and credentials (47.9%), followed by financial information (36.3%) and health-related data (15.8%). — This cybersecurity statistic was published by Nudge Security in February 2026. It covers topics including Large Language Models, Sensitive Data, Credentials, Financial Data, Health Data. The original data appears in AI Adoption in Practice: What Enterprise Usage Data Reveals About Risk and Governance,. For the full methodology and detailed findings, refer to the original report.
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What does this statistic say?
Detected sensitive-data events are led by secrets and credentials (47.9%), followed by financial information (36.3%) and health-related data (15.8%). This data was published by Nudge Security and covers Large Language Models, Sensitive Data, Credentials, Financial Data, Health Data.
Where does this data come from?
This statistic comes from AI Adoption in Practice: What Enterprise Usage Data Reveals About Risk and Governance,, published by Nudge Security on February 11, 2026. You can view the original report at https://www.nudgesecurity.com/content/ai-adoption-in-practice.
What cybersecurity topics does this cover?
This statistic relates to Large Language Models, Sensitive Data, Credentials, Financial Data, Health Data. Browse more statistics on Large Language Models or from Nudge Security.