Open source alternative to Splunk, Microsoft Sentinel and Google Chronicle Security Operations
Last verified
Secure cloud-scale security telemetry with an open source data lake and serverless SIEM for AWS.
Use Matano when long-retention security logs, detection engineering, and AWS-owned storage matter more than buying a closed SIEM bundle.
Your team needs a fully managed SOC platform with bundled analysts and support.
Use Matano to normalize cloud security events and build detection workflows against a data lake.
Your security workload is small enough for basic cloud logging and alert rules.
Security teams collect more logs than traditional SIEM pricing and storage models can comfortably handle. Cloud, identity, endpoint, and application events all need to be retained, searched, normalized, and used for detection without making every query a budget decision.
The harder problem is ownership of security data. If logs live only in a managed SIEM, teams may struggle with long retention, custom analytics, and direct access to raw historical data.
Builds a security data lake in an AWS account, giving teams a place to store and analyze large volumes of security logs.
Targets threat hunting, detection engineering, response, and cybersecurity analytics rather than generic business intelligence.
Normalizes unstructured security logs into structured data so detections and analytics can operate across sources.
Matano is used to build an AWS-based security data lake for threat hunting, detection, response, and security analytics.
Matano overlaps with SIEM use cases, but it is framed around a security data lake and detection workflows rather than a closed managed SIEM product.
Matano fits security teams that want to own high-volume security data in AWS and build custom detection analytics.
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