Anomaly Detection

What is Anomaly Detection?

Anomaly detection is the process of identifying data points or patterns that deviate significantly from the norm within a dataset. In the context of fraud prevention, it involves using statistical models or machine learning to flag transactions that are unusual for a specific user or the general population.

Why It Matters

• It is highly effective at discovering new and unknown fraud schemes that have not yet been captured by traditional rules.

• Anomaly detection can identify suspicious activity across massive volumes of data that would be impossible for humans to review manually.

• It helps businesses stay ahead of sophisticated attackers who constantly change their tactics to avoid detection.