37% of frontline employees prioritize speed over security when using AI tools

45% of employees find workarounds when AI tools are restricted

48% of employees say they would continue using AI even if it were explicitly banned

69% of C-suite leaders prioritize speed over security when using AI tools

97% of development teams have adopted AI coding assistants.

Nearly 90% of development teams encounter issues with AI-generated code.

86% of development professionals believe an AI agent or model should evaluate AI-generated code.

AI coding assistants have 97% adoption among enterprise development teams.

42% of organizations globally identify a lack of visibility into the AI tools employees use as a significant identity governance gap.

Deployment of AI tools initially reduces performance by 10–20% before improvements are realized through repeated testing.

47% of U.S. cybersecurity decision-makers report concern about lack of visibility into employee AI tool usage, compared with 42% globally.

47% of large organizations do not have full visibility into employee AI tool usage.

Enterprises can track only 44% of the AI tools handling sensitive company and user data.

84% of people have not shared personal health information with AI tools.

88% of people do not freely share personal information with AI tools like ChatGPT and Gemini.

36% of CISOs report insufficient AI-specific security tools as a top challenge.

61% of organizations report the use of unsanctioned AI tools, creating significant visibility and governance gaps.

95% of surveyed organizations reported using AI tools in software development.

28% of organizations reported that cybersecurity AI tools improved their detection and response capabilities.

56% of employees are unhappy with their company's approach to AI tools, which can drive them toward unsanctioned platforms and creating 'shadow AI' risks.