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Elastic, a leader in search-powered AI solutions, announced the launch of its Elastic AI SOC Engine (EASE) on August 6, 2025, enhancing security operations with AI-driven capabilities integrated into existing tools.
Elastic AI SOC Engine (EASE) launched to enhance SIEM and EDR tools.
Serverless solution reduces alert fatigue and investigation time.
Features agentless integrations with Splunk, Microsoft Sentinel, and more.
AI-powered Attack Discovery correlates and prioritizes alerts.
Context-aware AI Assistant uses natural language queries and RAG-based search.
Transparent AI with flexible LLM options and operational dashboards.
Elastic (NYSE: ESTC) introduced the Elastic AI SOC Engine (EASE), a serverless, easy-to-deploy security package designed to integrate AI-driven threat detection and triage into existing Security Information and Event Management (SIEM) and Endpoint Detection and Response (EDR) tools. Launched on August 6, 2025, EASE enables security operations center (SOC) analysts to address complex cyber threats without requiring immediate migration from platforms like Splunk, Microsoft Sentinel, or CrowdStrike. “SOC analysts are overwhelmed by high alert volumes and lack the AI support they need from their existing SIEM and EDR solutions to investigate threats effectively,” said Santosh Krishnan, general manager, Observability & Security at Elastic.
EASE offers a suite of features to streamline SOC operations. Its agentless integrations allow seamless alert ingestion from third-party SIEM and EDR platforms, enabling immediate AI analysis. The Elastic Attack Discovery feature uses AI to triage, correlate, and prioritize alerts, reducing noise and focusing on critical threats. Additionally, the context-aware AI Assistant leverages Retrieval-Augmented Generation (RAG) and natural language queries, pulling data from sources like Jira, GitHub, and SharePoint to enrich investigations. “EASE brings Elastic’s proven AI capabilities into the security tools teams already use, to automatically prioritize threats, correlate alerts, and accelerate investigations, reducing the load on teams,” Krishnan added.
EASE emphasizes transparency and flexibility, allowing organizations to choose their preferred Large Language Model (LLM) or use Elastic’s Managed LLM. All AI Assistant responses are cited, ensuring clarity on data sources, with queries, responses, and token usage fully logged. Operational dashboards provide out-of-the-box metrics to demonstrate time savings, detection improvements, and return on investment (ROI). “Elastic is tackling a common challenge: how to bring open and transparent AI into the SOC without starting from scratch,” said Michelle Abraham, senior research director, Security and Trust, IDC.
By integrating with existing security infrastructure, EASE reduces alert fatigue and accelerates threat detection and response. Its serverless delivery on the Elastic Cloud ensures rapid deployment and scalability, making it ideal for organizations seeking to enhance their SOC without overhauling systems. The finance card above shows Elastic’s stock (ESTC) at $78.095, reflecting a 3.16% drop from the previous day’s close of $80.64, indicating market dynamics around the launch. EASE also offers a migration path to Elastic Security for a unified, AI-driven platform combining SIEM, Extended Detection and Response (XDR), and cloud security.
Elastic’s EASE positions the company as a leader in AI-driven cybersecurity, offering SOC teams a powerful tool to combat evolving threats while maximizing the value of existing investments. This launch underscores Elastic’s commitment to open, scalable, and transparent security solutions.
Elastic, the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500.
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