Open source security data lake for threat detection and response.

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Apache-2.0

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Rust
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Matano is an open-source security data lake designed for threat hunting, detection, and response at petabyte scale on AWS. It offers a comprehensive platform for cybersecurity analytics, modernizing your Security Operations Center (SOC) with cloud-native capabilities. Matano integrates seamlessly with your existing security and software products, providing a unified solution for managing and analyzing vast amounts of security data.

  • Unified Security Data Lake: Ingest and store all your security data into a scalable data lake. Matano automatically ingests data from all of your security and software products with hundreds of prebuilt integrations and parsers.
  • Detect & Respond Faster: Get started with Matano’s 800+ out-of-the-box correlation rules tuned to your environment to detect and remediate threats in real-time.
  • Search Experience: Easily search data and build detection rules across your data lake using an intuitive search language compatible with Splunk SPL. Modernize your SOC without retraining your workforce.
  • Scalable Storage: Your data is always stored in S3 for unlimited retention at petabyte scale. Leverage hundreds of pre-built connectors to ETL data from common security sources like Cloud, SaaS, Host, Network, and Identity logs.
  • Contextualized Alerts: Matano automatically pulls threat intelligence and asset context into a security graph and combines it with the data lake to deliver high fidelity alerts and help you focus on the threats that matter.

Matano revolutionizes the way organizations handle cybersecurity by providing a scalable, cost-effective, and comprehensive security data lake solution. By leveraging cloud-native technologies and integrating with existing security tools, Matano ensures that your security operations are efficient, effective, and future-proof.

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