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

Cyberhaven's assessment of over 700 AI tools found that a troubling 71.7% fall into high or critical risk categories.

94% of energy firms are pushing to adopt AI-driven cybersecurity due to revenue losses and disruptions caused by ransomware and phishing.

Manufacturing companies saw 20x growth in employee AI adoption.

33% are actively building their automation strategies

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

Mid-level software engineers use AI 189% more than their more junior counterparts.

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

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

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

30% of organizations are considering implementing AI.

Retail firms achieved 24x increase in employee AI adoption.

Professional services have 17.2% employee AI adoption.

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.

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

30% of respondents report the emergence of a new attack surface due to the use of AI by their business users.

Healthcare has 11.8% employee AI adoption.

68% say their organizations lack identity security controls for AI.

45% of organizations took up to three months to implement their most recent automation.