AI technical debt: What it is — and why it matters

This report argues that rapid AI adoption is creating compounding technical debt that expands enterprise attack surfaces through misgoverned data pipelines, permissive access, IaC misconfigurations, and insecure vector databases, while remaining largely invisible to traditional tools like firewalls and SIEMs; it urges organizations to implement AI-focused data governance, lineage tracking, access controls, and continuous monitoring across the AI lifecycle to reduce hidden exposure risks in 2026.