StreamAlert is a serverless, real-time data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using data sources and alerting logic you define. Computer security teams use StreamAlert to scan terabytes of log data every day for incident detection and response.
Incoming log data will be classified and processed by the rules engine. Alerts are then sent to one or more outputs.
Rules are written in Python; they can utilize any Python libraries or functions
Ingested logs and generated alerts can be retroactively searched for compliance and research
Serverless design is cheaper, easier to maintain, and scales to terabytes per day
Deployment is automated: simple, safe and repeatable for any AWS account
Secure by design: least-privilege execution, containerized analysis, and encrypted data storage
Merge similar alerts and automatically promote new rules if they are not too noisy
Built-in support for dozens of log types and schemas
Built-in collection of broadly applicable community rules
Fully open source and customizable: add your own log schemas, rules, and alert outputs
Ready? Let’s get started!
Table of Contents¶
- Dynamic Outputs
- Lookup Tables
- Rule Staging
- Rule Promotion
- Historical Search
- Scheduled Queries
- Example Schemas