What standard testing misses.
Production outages cost $100k-$5M per incident in downtime + customer churn
95% accuracy → but predictions collapse when inputs vary slightly
You test what you expect, miss what you don't
Model updates break edge cases, prod finds out first
$5k-$30k audit vs $100k-$5M P0 incident. Third-party sealed logs prevent blame games during post-mortems.