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Mechanisms that scan real-time data streams against security criteria to generate alerts.
Distinguishing note: None of the candidates cover the specific act of evaluating live security data streams for alert generation
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This project is a detection-as-code framework providing a library of security monitoring rules and predefined detection content for Elasticsearch data indices. It serves as a threat detection rule library designed to identify malicious activity and attack patterns across diverse data streams in cloud and on-premises environments. The framework implements a detection engineering workflow where rules are defined in YAML and managed as versioned code. It includes a set of command-line utilities for automated rule deployment, metadata searching, and template generation, supported by a Python-base
Implements a scanning mechanism that evaluates incoming data streams against predefined criteria to generate security alerts.