Elastic Security Unveils Comprehensive Detection Engineering Capabilities
Elastic Security has published a detailed overview of its detection engineering tools, designed to help security teams manage and optimize threat detection at scale. The article highlights recent feature enhancements, including customizable prebuilt rules that allow parameter modifications without duplicating rules, and alert suppression capabilities to reduce noise and fatigue. Users can now perform manual rule runs on historical data up to 90 days back to assess rule quality, a feature available at the Standard tier. Additionally, automated case creation helps streamline investigations by aggregating multiple alerts. Out of the box, Elastic provides over 1,300 SIEM detection rules across 54 data sources and more than 70 machine learning jobs. These rules are mapped to MITRE ATT&CK frameworks and include context for investigation. The platform aims to empower detection engineers with AI-driven assistance and automated response actions, enabling organizations to stay ahead of evolving threats while improving their overall security posture through efficient workflow management.
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Elastic Security Unveils Comprehensive Detection Engineering Capabilities
Elastic Security has published a detailed overview of its detection engineering tools, designed to help security teams manage and optimize threat detection at scale. The article highlights recent feature enhancements, including customizable prebuilt rules that allow parameter modifications without duplicating rules, and alert suppression capabilities to reduce noise and fatigue. Users can now perform manual rule runs on historical data up to 90 days back to assess rule quality, a feature available at the Standard tier. Additionally, automated case creation helps streamline investigations by aggregating multiple alerts. Out of the box, Elastic provides over 1,300 SIEM detection rules across 54 data sources and more than 70 machine learning jobs. These rules are mapped to MITRE ATT&CK frameworks and include context for investigation. The platform aims to empower detection engineers with AI-driven assistance and automated response actions, enabling organizations to stay ahead of evolving threats while improving their overall security posture through efficient workflow management.
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