New Delhi: Elastic (NYSE: ESTC) has introduced the Elastic AI SOC Engine (EASE), a serverless, AI-driven solution designed to improve threat detection and reduce alert fatigue by integrating seamlessly with existing SIEM and EDR platforms, including Splunk, Microsoft Sentinel, and CrowdStrike.
EASE aims to support security operations centers (SOCs) facing high alert volumes and limited AI capabilities within current tools. Instead of requiring system overhauls, the solution operates through agentless integrations that ingest alerts directly from third-party platforms, enabling organizations to apply AI analysis without infrastructure changes.
The engine uses Elastic’s Attack Discovery to correlate and prioritize alerts, helping analysts identify complex threats more efficiently. A context-aware AI Assistant further enhances investigations by integrating internal knowledge from platforms like Jira, GitHub, and SharePoint, and supports natural language queries and RAG-based search across organizational data.
EASE offers model flexibility, allowing users to choose between their own large language models (LLMs) or Elastic’s managed LLM. All AI interactions are transparent, with query logging and response traceability. Built-in dashboards provide visibility into performance metrics such as time saved, detection improvements, and return on investment.
Elastic positions EASE as a transitional solution for security teams, enabling them to strengthen detection and triage capabilities using existing systems. For organizations seeking broader transformation, the company offers a pathway to migrate to Elastic Security’s unified platform at a later stage.
By focusing on operational efficiency and integration flexibility, EASE targets a common gap in current cybersecurity environments.
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