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

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.

53% of organizations plan to adopt AI agents for threat detection.

Manufacturing companies saw 20x growth in employee AI adoption.

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

AI usage at work has grown an astounding 61x over the past 24 months.

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

10.8% of AI-generated material enters source code management systems.

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

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

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

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

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

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

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

83.8% of enterprise data input into AI tools flows to platforms classified as medium, high, or critical risk.

More than half of surveyed organizations have restructured their teams due to AI implementation.