90% of CTOs, CISOs, and CIOs say business pressure to enable AI building has increased in the past 12 months.

38% of CTOs, CISOs, and CIOs call vibe-coded tools running in production a top operational risk.

31% of CTOs, CISOs, and CIOs say their organization's tolerance for friction in enabling AI building is near zero.

22% of CTOs, CISOs, and CIOs indicate their organizations have had at least one AI-caused production incident.

19% of CTOs, CISOs, and CIOs can definitively say their organizations have not had an AI-caused production incident because of monitoring they have in place.

93% of CTOs, CISOs, and CIOs are concerned about vibe-coded tools running in production.

59% of CTOs, CISOs, and CIOs cannot confirm whether their organizations have had an AI-caused production incident.

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.

56% of development professionals prefer a dedicated AI security agent separate from the code-generation tool to evaluate AI-generated code.

30% of development professionals believe the same AI model that generated the code should also review it for security issues.

84% of developers prefer to keep a human in the loop via pull requests or real-time IDE suggestions when using AI-assisted development.

52% of development teams experience bottlenecks in manual review related to AI-generated code.

58% of development teams cite a major improvement in productivity and release velocity from AI coding assistants.

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

48% of development teams experience bottlenecks in code rework related to AI-generated code.

92% of development teams report improved productivity and release velocity when using AI coding assistants.

97% of development teams have adopted AI coding assistants.

Developers will spend 29% more time reviewing and validating AI-generated code, 29% more time on complex architecture and system design, and 23% more time on security verification and risk management.

30% of development teams have full governance in place for AI coding assistant adoption and oversight.