Currently, 34.8% of all corporate data that employees input into AI tools is classified as sensitive. This is a substantial increase from 27.4% a year ago and more than triple the 10.7% observed two years ago.

Source code is the most common type of sensitive data employees put into AI, accounting for 18.7% of sensitive data.

Health records comprise 7.4% of sensitive data going into AI.

22% of respondents stated concern about the loss of sensitive data due to insecure home networks.

27% of high-risk sensitive files contain digital data such as API keys, usernames, and account numbers

In organisations that reported experiencing a data breach or loss of sensitive data due to an unsecured device, 60% were not using security locks, compared to 38% who were.

71% of financial services firms noted data protection concerns are driven by the volume of sensitive data required to support AI models.

It takes only another 28 seconds to enter the data after clicking a malicious link.