Welcome to our dedicated page for Elastic N.V. news (Ticker: ESTC), a resource for investors and traders seeking the latest updates and insights on Elastic N.V. stock.
Elastic N.V. (NYSE: ESTC) delivers cutting-edge solutions for search, security, and data analytics, empowering enterprises to transform complex data into actionable insights. This dedicated news hub provides investors and technology professionals with essential updates directly from the company and verified sources.
Access official press releases detailing product innovations, financial results, and strategic partnerships. Our curated collection includes analysis of Elastic's advancements in observability tools, cloud services, and enterprise search capabilities - critical components of modern data infrastructure.
Key coverage areas include quarterly earnings disclosures, security solution updates, and technology partnership announcements. Stay informed about Elastic's open source developments and enterprise software enhancements that drive operational efficiency across industries.
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Elastic (NYSE: ESTC) has introduced Search AI Lake, a pioneering cloud-native architecture designed for real-time, low-latency applications, including search, retrieval augmented generation (RAG), observability, and security. This architecture powers the new Elastic Cloud Serverless offering, which scales and manages workloads automatically. Key features include decoupled compute and storage for scalability, real-time query performance, and native AI inference capabilities. This innovation aims to handle high throughput, frequent updates, and large data volumes efficiently, reducing data duplication and operational costs. Search AI Lake and Elastic Cloud Serverless are available in tech preview.
Red Hat and Elastic announced an expanded collaboration to deliver next-generation search experiences supporting retrieval augmented generation (RAG) patterns using Elasticsearch as a preferred vector database solution integrated on Red Hat OpenShift AI. This collaboration aims to equip enterprises with tools to support RAG solutions over time on a single, consistent platform. RAG plays a important role in integrating large language models (LLM) into business applications. By combining LLMs with private data stores, IT teams can train models with targeted, private data without modifying the underlying model. The collaboration between Red Hat and Elastic enables organizations to get the most out of RAG, providing a trusted machine learning operations platform and a robust hybrid search solution for scaling AI responses. This partnership demonstrates the positive impact AI can have on business applications and the broader market, leading to greater AI adoption and more user choice.
Elastic Security Labs, a division of Elastic (NYSE: ESTC), released a comprehensive guide on how to avoid risks and abuses related to large language models (LLMs). The guide provides best practices and countermeasures for the secure adoption of LLM technology, aiming to help developers and security teams navigate the challenges posed by the rapid adoption of generative AI and LLM implementations. The research emphasizes the importance of security measures to protect against potential attacks and provides detection rules to monitor and mitigate LLM abuses.
Elastic (NYSE: ESTC) is revolutionizing the SIEM game with AI-driven security analytics through its Search AI platform. The new Attack Discovery feature prioritizes attacks over alerts, enabling security teams to quickly identify and respond to the most impactful threats. Leveraging rich contextual data, Elastic Security streamlines the investigation process and empowers analysts to focus on threat detection and response rather than sifting through alerts. Attack Discovery will be available with the Elastic 8.14 release, benefiting customers with an Enterprise license.
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