47% cannot secure shadow AI usage in their organization.

Financial services have 26.2% employee AI adoption.

Healthcare has 11.8% employee AI adoption.

37% of respondents say that new AI-driven threats forced them to adjust their security approach.

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.

Only 16.2% of enterprise data input into AI tools is destined for enterprise-ready, low-risk alternatives.

5.5% of AI-generated outputs appear in IT and security tools.

30% of organizations are considering implementing AI.

33% are actively building their automation strategies

46% of organizations will use AI for real-time policy enforcement.

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

Professional services have 17.2% employee AI adoption.

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

Retail firms achieved 24x increase in employee AI adoption.

19% of security teams rely almost entirely on manual processes.

Only 11% of AI tools assessed qualify for low or very low risk classifications.

Only 6% of respondents currently have fully mature automation programmes.

72% believe AI will play a significant role in exposure management.

Mid-level employees use AI tools 3.5 times more frequently than manager-level employees.

Sales and marketing data constitutes 10.7% of sensitive data going into AI.