Behavioral detection use cases
Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud. Availability This functionality is generally available and ready for production usage. The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats. Availability This functionality is generally available and ready for production usage. Unless stated otherwise on the page, this functionality is available when your Elastic Stack is deployed on Elastic Cloud Hosted, Elastic Cloud Enterprise, Elastic Cloud on Kubernetes, and self-managed environments. This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.
Serverless Security
Generally available
Stack
Generally available
Behavioral detection identifies potential internal and external threats based on user and host activity. It uses a threat-centric approach to flag suspicious activity by analyzing patterns, anomalies, and context enrichment.
The behavioral detection feature is built on Elastic Security's foundational SIEM detection capabilities, leveraging machine learning algorithms to enable proactive threat detection and hunting.
Behavioral detection integrations provide a convenient way to enable behavioral detection capabilities. They streamline the deployment of components that implement behavioral detection, such as data ingestion, transforms, rules, machine learning jobs, and scripts.
- In Elastic Stack, behavioral detection integrations require a Platinum subscription or higher.
- In serverless, behavioral detection integrations require the Security Analytics Complete project feature tier.
- To learn more about the requirements for using machine learning jobs, refer to Machine learning job and rule requirements.
Here’s a list of integrations for various behavioral detection use cases:
- Data Exfiltration Detection
- Domain Generation Algorithm Detection
- Lateral Movement Detection
- Living off the Land Attack Detection
- Network Beaconing Identification
To learn more about machine learning jobs enabled by these integrations, refer to Security anomaly detection configurations.