Anomaly Detector monitors streams of numerical data and log events to identify unusual patterns that may indicate system failures, security breaches, or business-critical changes. It uses isolation forests, autoencoders, and statistical methods adapted to each data profile. Alerts include anomaly explanations and suggested investigation steps.
Triggers
detect anomalies infind unusual patternsmonitor for anomaliesTools
Parameters
data_source-Data input: csv | api_stream | prometheussensitivity-Detection sensitivity: low | medium | highIndustry
Role
Capability
Use Case
Tech Stack