Matano Open Source Security Data Lake is an open source cloud-native security data lake, built for security teams on AWS. It offers a commercial managed Cloud SIEM for a complete enterprise Security Operations platform. Matano normalizes unstructured security logs into a structured real-time data lake in your AWS account, integrates out of the box with 50+ sources for security logs, supports Detection-as-Code using Python, allows for automatic import of Sigma detections, provides a Log Transformation Pipeline with custom VRL scripting, and ensures no vendor lock-in by using open table format (Apache Iceberg) and open schema standards (ECS) for full ownership of security data in a vendor-neutral format. Users can bring their own analytics and query the security lake directly from any Iceberg-compatible engine (AWS Athena, Snowflake, Spark, Trino, etc.) without vendor lock-in.
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ALTERNATIVES
A dynamic GUI for advanced log analysis, allowing users to execute SQL queries on structured log data.
Track user activity and API usage on AWS and in hybrid and multicloud environments.
Python application to translate Zeek logs into ElasticSearch's bulk load JSON format with detailed instructions and features.
A collection of free shareable log samples from various systems with evidence of compromise and malicious activity, maintained by Dr. Anton Chuvakin.
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