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Glossary

Anomaly detection

What is Anomaly detection?

Anomaly detection finds data points, events or patterns that differ markedly from the norm. These might be unusually large transactions, sudden jumps in sensor readings, duplicate records or suspicious network activity. It is used in finance, IT security, manufacturing and quality control. Methods range from simple statistical thresholds to learning models; hits are indications that a person should assess.

How KI.ordo helps

The KI.ordo template “Find anomalies in data” flags outliers, jumps, missing values and duplicates in tables pasted as text, with row and reason – for human review.

Learn more →: Anomaly detection

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Topics

  • Data analysis
  • Quality control
  • Outliers

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