The Hidden Cost of AI Security Debt

This report argues that AI is accelerating enterprise security debt by scaling insecure code, expanding third‑party and shadow AI risks, and outpacing manual security reviews, with indicators such as a 180% rise in vulnerability exploitation, $4.44M average breach costs, and high defect rates in AI‑generated code; it explains root causes (training data flaws, misplaced developer trust), outlines compounding risks in regulated sectors, and provides a roadmap of mitigations including AI‑powered triage and remediation, AI‑aware DevSecOps, shadow AI governance, AI supply‑chain oversight, and regulatory alignment, alongside an outlook predicting broader AI code adoption, growing shadow AI, rising supply‑chain exploitation, and tightening compliance requirements.