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

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

44% of organizations say it’s difficult to hire for automation and AI roles.

89% of security teams have already begun to implement AI into their exposure validation processes.

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

49% have long-term roadmaps for automation.

Healthcare has 11.8% employee AI adoption.

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

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

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

35.9% of AI-generated content flows into email and messaging platforms.

30% of organizations are considering implementing AI.

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

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

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

Llama has consistently accounted for at least 50% of local model development over the past twelve months.

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.

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

DeepSeek usage in developer activity partially subsided by March 2025, settling at 11.0%.

81% of security leaders state that AI-driven automation is a top priority for their strategy over the next 3 to 5 years.