Executive Brief: Questions AI Is Creating That Security Can't Answer Today
Techstrong.ai, Wednesday, January 21st, 2026
AI-led development has moved from experimentation to standard practice across modern software teams. GitHub reports that 92% of developers now use AI coding tools, with AI-generated code contributing to 40% or more of new code in many organizations. While productivity gains are substantial - studies show 25-35% faster task completion - AI introduces governance and audit questions that traditional AppSec programs were never designed to answer.
The challenge isn't technical capability. It's architectural mismatch. Traditional security controls were built around code that humans write in controlled environments and commit to repositories. But AI generates code at the developer endpoint, before any traditional control point can see it. This creates fundamental gaps in auditability, traceability, and defensibility.
This brief examines where the traditional audit model breaks down, what questions auditors are now asking, and how leading security teams are shifting controls earlier in the SDLC to remain audit-ready and compliant.