A community-led project focused on the documentation, standardization, and modeling of security event logs. Goals include defining and sharing a common data model, data structures, and relationships in security event logs, as well as providing detailed information in a dictionary format about various security event logs.
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Open source security data lake for AWS with real-time log normalization and Detection-as-Code capabilities.
Serverless, real-time data analysis framework for incident detection and response.
A collection of detections for Panther SIEM with detailed setup instructions.
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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