
AI
Machine Learning for Anomaly Detection: How It Works and Fails
Automated systems learn normal behavior patterns to flag deviations, but they generate false positives that require human validation to prevent operational paralysis.
Everything Threat Times has reported about machine learning for fraud detection: 2 stories, newest first. Part of our AI coverage.

Automated systems learn normal behavior patterns to flag deviations, but they generate false positives that require human validation to prevent operational paralysis.

Most fraud detection failures stem from data drift and model decay, not from algorithmic complexity or insufficient compute power.