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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A framework for generating log events without the need for infrastructure, allowing for simple, repeatable, and randomized log event creation.
A collection of free shareable log samples from various systems with evidence of compromise and malicious activity, maintained by Dr. Anton Chuvakin.
SysmonSearch makes event log analysis more effective by aggregating Microsoft Sysmon logs and providing detailed analysis through Elasticsearch and Kibana.
Serverless, real-time data analysis framework for incident detection and response.
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