Discover the five critical infrastructure gaps stalling your enterprise AI initiatives, and learn how CIOs are addressing data, integration, and governance to scale agentic AI.
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The threat landscape has fundamentally shifted. Adversaries are no longer just nation-states and elite criminal groups with deep pockets. They are anyone with access to AI, and that changes everything.
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Discover why 40% of financial AI initiatives fail, and learn how a unified data platform enables secure, real-time AI scaling in regulated environments.
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AI is becoming core to financial services. But as adoption scales, so does risk. Without secure, real-time data, strong governance, and cyber resilience, AI can amplify threats as quickly as it drives innovation.
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Most enterprise AI initiatives stitch together four to five systems for memory, search, and state. The Elasticsearch Platform handles all of it in one engine — and the architecture is simpler than you think.
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Elastic Security combines CDR with SIEM to deliver crucial context, prioritized threat detection, and rapid response for a more efficient security posture.
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Discover top AI use cases in cybersecurity and key pitfalls to avoid when adopting AI in your SOC to improve threat detection and response.
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Discover how Elastic uses AI and ML to revolutionize fraud detection in financial services. From real-time anomaly detection to predictive analytics, learn how institutions can combat fraud, ensure compliance, and enhance trust with our solutions.
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After a year and one million messages, Elastic's Field Technology team shares five lessons from building production AI agents: why logs matter most, how retrieval thresholds shape quality, and what high token counts actually signal.
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Elastic's 2026 Forge the Future Hackathon in Singapore captured how quickly AI is moving to agentic systems that can reason, recommend, and act. Learn how 77 participants came together to design and build AI agent solutions in just four hours.
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The Elasticsearch Agent Builder Hackathon showed AI agents built with Elastic tools to solve real-world problems. Winners include PHAROS (drug safety in <60s), Gauntlet (adversarial testing), and a duplicate detection agent for Kenya’s HIV program.
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The Elasticsearch Agent Builder Hackathon spotlighted Gauntlet, a top-three project that uses mocking agents to mutate tool calls, expose hidden failures, and improve AI agent reliability.
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A multi-agent duplicate detection system built with Elastic Agent Builder addresses the 56% failure rate of manual duplicate detection in Kenya's HIV patient records. It uses tiered risk scoring and specific recs to provide $195K annual savings.
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PHAROS is a 4-agent system built with Elasticsearch that automates pharmacovigilance. It detects adverse drug safety signals using WHO-standard analysis, generates regulatory reports, and sends critical alerts in under 60 seconds.
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Version 9.4.1 of the Elastic Stack was released today. We recommend you upgrade to this latest version . We recommend 9.4.1 over the previous versions 9.4.0 For details of the issues that have been fixed and a full list of changes for each product in this version, please refer to the release notes .
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Elastic 9.4 makes Elastic the context and retrieval layer of choice with Agent Builder enhancements and Workflows GA while native Prometheus support and TSDB improvements make Elastic Observability the best platform for logs, metrics, and traces.
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SIEM Readiness is a new capability in Elastic Security, available in technical preview as of 9.4, that provides a centralized, continuously updated, and actionable view of your SIEM's operational health.
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Logs have returned to center stage for observability with new capabilities given the emergence of generative AI. Find out how GenAI and logs can provide visibility and insights to manage your operations and improve business outcomes.
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Logs have returned to center stage for observability with new insights and information for your SRE team. Driving efficiency in your day to day operations is possible with GenAI applied to the richest telemetry signal available: your logs.
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Discover how WP Engine innovates with Google Cloud and Elastic to deliver high-precision search and seamless integration for modern software vendors.
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Elastic’s collaboration with Google Cloud was on full display at Google Cloud Next 2026. Read about our joint developments and latest announcements as we strive to help customers build secure AI applications faster for any scale.
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With the launch of Elasticsearch 9.4, we are reaching an important milestone: the general availability of our joint offerings with NVIDIA and Dell and a major step forward in helping enterprises move from AI experimentation to scaled implementation.
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Elastic Workflows brings native automation to Elastic Security, eliminating the need for standalone SOAR. Combine scripted playbooks with AI reasoning to automate alert triage, enrichment, and response directly where your security data lives.
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Everyone had a theory on AI in the public sector. Now, see what’s actually working. Join IDC and Elastic to discuss the realities of AI adoption, data sovereignty, and building systems that deliver real impact.
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Gartner® estimates that over 70% of agentic AI use cases will fail to deliver the expected value. Traditional ROI models don't apply. See how we’re successfully measuring agentic AI ROI at Elastic.
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Elastic Security has a lot of generative AI capabilities, but two of them are now generally available for all Elastic users! Learn about Automatic Import and Attack Discovery.
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Learn how to set up Elastic AI Assistant with a locally hosted Meta Llama 3.1 model with LM Studio.
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This award recognizes the innovation from Elastic’s technology team, our ability to embed AI within customer and agent workflows, and our product as a whole. Learn more about how we embed AI within customer and support experiences.
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The Custom Threat Intelligence integration allows security teams to bring in threat data from multiple sources converting it into ECS. By ingesting threat intelligence, users can enhance security visibility within Elastic's Search AI Platform.
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Learn JVM basics, including how to examine memory usage patterns and troubleshoot JVM issues, such as Exit code 127 and Exit code 137, by understanding JVM’s memory management and object reaping via garbage collection.
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Mitigating the risks identified in the OWASP Top 10 for LLM Applications requires a unified platform approach. Elastic’s Search AI Platform provides this holistic solution by combining full lifecycle observability with powerful security analytics.
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Elastic 8.15 includes enhancements in semantic search, new OTel collector distribution, AI-driven SIEM data onboarding, LLM integrations, additions to cross-cluster search (CCS), and more functionality within the Elasticsearch Query Language (ES|QL).
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ElasticGPT is a generative AI assistant designed to help Elastic employees quickly find information and answers from company data. Teams can use ElasticGPT via a self-service experience to summarize, categorize, and analyze information and data.
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Explore the different types of vector databases available and discover the key factors to consider when choosing the right one.
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Elastic Security is named a Leader in the IDC MarketScape for worldwide SIEM enterprise 2024 vendor assessment.
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Elastic collaborated with Google Cloud to provide higher indexing throughput on Google Axion Processors (C4A). Powered by C4A processors, Elastic Cloud Serverless delivers Elastic users up to 40% higher indexing throughput.
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This blog provides a comprehensive overview of the detection capabilities available in Elastic Security. Learn about the latest features and get useful tips and tricks for your detection practice!
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This blog explores how to build a powerful retrieval augmented generation (RAG) system that incorporates geospatial data using Elasticsearch, Amazon Bedrock, and LangChain.
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Learn how to develop a chatbot effectively with this guide, covering do’s and don'ts for chatbot developers and other useful tips.
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For government, healthcare, and education orgs looking to reduce costs and boost efficiency, Informa TechTarget's Enterprise Strategy Group report shows the value of Elastic Security, including how AI and ML can reduce security risk and lower TCO.
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