Enterprise AI risk map lays out five layers from data drift to governance gaps
CurieuxExplorer · x · 2026-07-22
A risk map breaks enterprise AI risk into five layers: data risks, model risks, agent risks, security & ops risks, and governance risks.
The chart expands each layer into concrete failure modes such as privacy leakage, data drift, hallucinations, overfitting, autonomy risk, prompt injection, API abuse, token theft, latency, cost overruns, audit gaps, legal exposure, compliance failures, and human-oversight problems. It’s framed as a checklist for executives building AI systems at scale.
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