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AI-assisted development tools like GitHub Copilot are now used by 92% of developers, generating up to 40% of new code, but traditional AppSec controls can't audit or govern AI-generated code because it's created at the developer endpoint before reaching repositories. This creates fundamental gaps in traceability, policy enforcement, and compliance that auditors are now exposing through questions about AI tool usage, policy enforcement, and code provenance. Leading security teams are shifting to a pre-commit governance model that enforces policies at the moment of AI code generation, maintains audit trails of prompts and context, and provides real-time visibility into AI coding activity across the organization.

Executive Brief: Questions AI is Creating that Security Can’t Answer Today