---
title: Finding anomalies
description: The machine learning anomaly detection features automate the analysis of time series data by creating accurate baselines of normal behavior in your data...
url: https://www.elastic.co/elastic/docs-builder/docs/3028/explore-analyze/machine-learning/anomaly-detection/ml-ad-finding-anomalies
products:
  - Elasticsearch
  - Machine Learning
applies_to:
  - Elastic Cloud Serverless: Generally available
  - Elastic Stack: Generally available
---

# Finding anomalies
The machine learning anomaly detection features automate the analysis of time series data by creating accurate baselines of normal behavior in your data. These baselines then enable you to identify anomalous events or patterns. Data is pulled from Elasticsearch for analysis and anomaly results are displayed in Kibana dashboards. For example, the **Machine Learning** app provides charts that illustrate the actual data values, the bounds for the expected values, and the anomalies that occur outside these bounds.
The typical workflow for performing anomaly detection is as follows:
- [Plan your analysis](https://www.elastic.co/elastic/docs-builder/docs/3028/explore-analyze/machine-learning/anomaly-detection/ml-ad-plan)
- [Run a job](https://www.elastic.co/elastic/docs-builder/docs/3028/explore-analyze/machine-learning/anomaly-detection/ml-ad-run-jobs)
- [View the results](https://www.elastic.co/elastic/docs-builder/docs/3028/explore-analyze/machine-learning/anomaly-detection/ml-ad-view-results)
- [Forecast future behavior](https://www.elastic.co/elastic/docs-builder/docs/3028/explore-analyze/machine-learning/anomaly-detection/ml-ad-forecast)