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

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

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.

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

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

Only 3% of organizations have ruled out autonomous AI entirely.

29% of organizations struggle with compliance since auditors require proof of data security and privacy in AI-based systems.

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

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

Only 15% of organizations deployed their most recent automation in under a month.

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

Developer adoption of DeepSeek surged rapidly, reaching 17.7% of AI development activity by February 2025.

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

Manufacturing companies saw 20x growth in employee AI adoption.

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

Traditional integrated development environments (IDEs) experienced a 23.7% decline in usage when AI alternatives become available

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

49% have long-term roadmaps for automation.

HR and employee records account for 4.8% of sensitive data going into AI.