Matano is an open source security lake platform for AWS. It lets you ingest petabytes of security and log data from various sources, store and query them in a data lake, and create Python detections as code for realtime alerting. Matano is fully serverless and designed specifically for AWS and focuses on enabling high scale, low cost, and zero-ops. Matano deploys fully into your AWS account.
Key features
- Security Data Lake: Matano normalizes unstructured security logs into a structured realtime data lake in your AWS account.
- Collect All Your Logs: Matano integrates out of the box with 50+ sources for security logs and can easily be extended with custom sources.
- Detection-as-Code: Use Python to build realtime detections as code. Support for automatic import of Sigma detections to Matano.
- Log Transformation Pipeline: Matano supports custom VRL (Vector Remap Language) scripting to parse, enrich, normalize and transform your logs as they are ingested without managing any servers.
- No Vendor Lock-In: Matano uses an open table format (Apache Iceberg) and open schema standards (ECS), to give you full ownership of your security data in a vendor-neutral format.
- Bring Your Own Analytics: Query your security lake directly from any Iceberg-compatible engine (AWS Athena, Snowflake, Spark, Trino etc.) without having to copy data around.
- Serverless: Matano is fully serverless and designed specifically for AWS and focuses on enabling high scale, low cost, and zero-ops.