Anomaly Detection

Anomaly detection is the use of machine learning or statistical models to identify unusual patterns in data that deviate from expected behavior. In the context of real-time monitoring, it involves observing protocol events, such as large trades or unexpected state changes, and flagging anything that falls outside the established baseline.

This allows for the early detection of sophisticated attacks that may not be caught by static rules. Anomaly detection systems learn from the normal behavior of the protocol and adapt to changing market conditions.

It is a powerful tool for detecting novel attack vectors that have never been seen before. In the volatile environment of digital assets, this provides an essential layer of proactive defense against unforeseen threats.