Model Training & Adaptation
Anomaly detection
Spotting things that differ unusually from an expected pattern.
Example
A monitoring system flags an unusual sequence of transactions.
Why people use it
It helps draw attention to unusual cases among many ordinary ones.
What you'll hear
“This transaction looks different from the usual pattern.”
What this means for you
Investigate flagged cases rather than treating unusualness as proof.
Can you control it?
Developer-only
The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.
Common questions
- Does an anomaly mean fraud or failure?
- No. An unusual event can be legitimate or harmless.
- Can an important problem look ordinary?
- Yes. A harmful event may resemble familiar activity and escape an unusualness check.
- Can unusual behavior become normal over time?
- Yes. Changes in the world can make yesterday's exception part of today's routine.