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

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

Developers reclaim an average of eight hours per week when using AI coding assistants.

53% of development teams have grown total code volume by over 25%.

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

52% of development teams experience bottlenecks in manual review related to 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.

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.

23% of organizations reported a near miss for AI identity-related security in the past 12 months.

12% of organizations emerged from the past year without an AI identity incident or close call.

84% of organizations that rate themselves "extremely confident" in their AI security posture have experienced a confirmed AI identity incident.

83% confirmed incident rate for organizations using multi-tenant SaaS identity platforms.

38% confirmed incident rate for organizations using self-hosted or on-premises identity platforms.

56% of organizations face customer, partner, or regulatory demands to demonstrate tenant isolation frequently.

93% of organizations say AI is a trigger for reevaluating identity infrastructure.

91% of organizations expect identity investment to increase in the next 12–18 months.

90% of companies running AI in production, using AI broadly, and operating on multi-tenant SaaS identity infrastructure reported a confirmed incident.