34.4% of AI tools have user data accessible to third parties without adequate controls.

39.5% of AI tools have the key risk factor of inadvertent exposure of user interactions and training data.

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.

R&D materials account for 17.1% of sensitive data going into AI.

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.

63% of organizations report external data oversharing and 56% say employees upload sensitive data to unauthorized SaaS apps.

70% of people "feel resigned that my personal data is already out there, and I can’t get it back".

64% of respondents worry about inadvertently sharing sensitive information publicly or with competitors.

Nearly half of respondents admit to inputting personal employee or non-public data into GenAI tools.