Elastic Launches EASE: AI SOC Engine for Enhanced Threat Detection and Triage
PorAinvest
miércoles, 6 de agosto de 2025, 1:58 pm ET2 min de lectura
CRWD--
EASE offers several key features that address common challenges faced by Security Operations Center (SOC) analysts. By integrating with existing SIEM and EDR platforms, EASE reduces alert fatigue and speeds up investigation times. It achieves this through agentless integrations, AI-driven alert correlation, and an AI Assistant that provides relevant, actionable insights to help analysts uncover hidden threats faster [1].
One of the standout features of EASE is its ability to correlate alerts and prioritize threats automatically. This capability is particularly valuable in environments where analysts are overwhelmed by high alert volumes. EASE’s Attack Discovery tool automatically stitches together alerts to surface broader attack campaigns, providing a comprehensive view of coordinated activities [1].
The AI Assistant within EASE supports natural language queries and retrieval-augmented generation (RAG)-based search across internal data and Elastic Security Labs content. This context-aware AI assistant helps analysts retrieve relevant internal knowledge, such as Jira tickets and knowledge base articles, reducing manual lookups and speeding up triage decisions [1].
EASE is designed for fast deployment and immediate value, making it an attractive option for organizations that cannot yet migrate to a next-gen SIEM. By integrating with popular tools like Splunk, Microsoft Sentinel, CrowdStrike, and others, EASE allows analysts to leverage AI-driven capabilities without disrupting their current investments [1].
Elastic has positioned EASE as a stepping stone to its full Elastic Security platform, which unifies SIEM, extended detection and response (XDR), and cloud security. This approach provides a flexible path for organizations to adopt AI capabilities today and evolve to a more comprehensive security solution in the future [1].
EASE is available as an Elastic Cloud Serverless offering (SaaS), allowing analysts to tap into Elastic’s advanced AI capabilities within minutes. The solution includes out-of-the-box impact dashboards that track efficiency gains and return on investment (ROI), providing quantitative evidence of security’s value to leadership [1].
For those interested in learning more about EASE, Elastic offers a free trial and upcoming webinars to demonstrate the capabilities of their AI-driven SOC solutions [1].
References:
[1] https://www.elastic.co/blog/elastic-ease
MSFT--
Elastic has launched Elastic AI SOC Engine (EASE), a new serverless security package that brings AI-driven detection and triage into existing SIEM and EDR tools without migration or replacement. EASE delivers agentless integrations, AI-driven alert correlation, and an AI Assistant to uncover hidden threats faster and reduce manual investigation time. It is designed for fast deployment and immediate value in security environments that rely on Splunk, Microsoft Sentinel, CrowdStrike, and other tools.
Elastic, a leading search and analytics company, has recently announced the launch of Elastic AI SOC Engine (EASE), a serverless security package designed to enhance existing Security Information and Event Management (SIEM) and Endpoint Detection and Response (EDR) tools. This innovative solution integrates context-aware AI to streamline threat detection and investigation without the need for immediate migration or replacement of current systems.EASE offers several key features that address common challenges faced by Security Operations Center (SOC) analysts. By integrating with existing SIEM and EDR platforms, EASE reduces alert fatigue and speeds up investigation times. It achieves this through agentless integrations, AI-driven alert correlation, and an AI Assistant that provides relevant, actionable insights to help analysts uncover hidden threats faster [1].
One of the standout features of EASE is its ability to correlate alerts and prioritize threats automatically. This capability is particularly valuable in environments where analysts are overwhelmed by high alert volumes. EASE’s Attack Discovery tool automatically stitches together alerts to surface broader attack campaigns, providing a comprehensive view of coordinated activities [1].
The AI Assistant within EASE supports natural language queries and retrieval-augmented generation (RAG)-based search across internal data and Elastic Security Labs content. This context-aware AI assistant helps analysts retrieve relevant internal knowledge, such as Jira tickets and knowledge base articles, reducing manual lookups and speeding up triage decisions [1].
EASE is designed for fast deployment and immediate value, making it an attractive option for organizations that cannot yet migrate to a next-gen SIEM. By integrating with popular tools like Splunk, Microsoft Sentinel, CrowdStrike, and others, EASE allows analysts to leverage AI-driven capabilities without disrupting their current investments [1].
Elastic has positioned EASE as a stepping stone to its full Elastic Security platform, which unifies SIEM, extended detection and response (XDR), and cloud security. This approach provides a flexible path for organizations to adopt AI capabilities today and evolve to a more comprehensive security solution in the future [1].
EASE is available as an Elastic Cloud Serverless offering (SaaS), allowing analysts to tap into Elastic’s advanced AI capabilities within minutes. The solution includes out-of-the-box impact dashboards that track efficiency gains and return on investment (ROI), providing quantitative evidence of security’s value to leadership [1].
For those interested in learning more about EASE, Elastic offers a free trial and upcoming webinars to demonstrate the capabilities of their AI-driven SOC solutions [1].
References:
[1] https://www.elastic.co/blog/elastic-ease

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