
AI
7 AI Model Monitoring Mistakes That Break Production Systems
Monitoring output accuracy alone misses silent data drift and prompt injection vectors that degrade model utility and security over time.
Everything Sandbox Desk has reported about ai monitoring: 2 stories, newest first. Part of our AI coverage.

Monitoring output accuracy alone misses silent data drift and prompt injection vectors that degrade model utility and security over time.

Monitoring detects statistical drift, not logical errors, meaning a model can be statistically stable while producing harmful or incorrect outputs that bypass standard checks.