Matano is a cloud-native Security Information and Event Management (SIEM) platform built on a security data lake. It is designed for petabyte-scale analytics and aims to reduce costs while helping security teams detect threats faster. Matano ingests and stores security data from various sources into a scalable data lake, automatically normalizing and enriching the data with context from threat intelligence feeds and a Security Graph. The platform utilizes cloud-native architecture and object storage for unlimited retention, offering automatic data ingestion with pre-built integrations and parsers, and includes out-of-the-box correlation rules for threat detection and remediation.