Join us at Elastic{ON} Mumbai to explore search, full-stack observability, and security, and how Elastic acts as the context engine that grounds agentic AI in your enterprise data, transforming regulatory mandates and data into an AI advantage.
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Frontier AI has accelerated cyber threats to machine speed, leaving many ANZ organisations vulnerable. Our latest research reveals how fragmented data and visibility gaps hinder defence and why a unified platform is essential to battle threats.
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Detections as Code (DaC) is transforming security rule management. Learn about Elastic's latest enhancements in the detection-rules repo, how to leverage it for custom rule management, and our comprehensive guide for adopting DaC.
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AI-accelerated attacks are outpacing SLED security teams. Learn how state, local, and education organizations are closing the gap by fixing their data foundation first.
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Elastic Observability helps public sector customers solve problems like IT modernization, data silos, and data inaccessibility. Customers gain significant value from Elastic Observability, including increased ROI, analyst efficiency and cost savings.
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Adopting OpenTelemetry standards can enhance the government's ability to manage and analyze telemetry data across diverse systems – ensuring consistent and reliable data collection and leading to better decision-making and improved service delivery.
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ECK 3.5 brings dynamic namespace management via label selectors, pause orchestration for safe maintenance windows, mutual TLS across all stack components, simplified resource specs, and a reduced operator memory footprint.
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Version 9.5.2 of the Elastic Stack was released today. We recommend you upgrade to this latest version . We recommend 9.5.2 over the previous versions 9.5.1 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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An independent IDC study found organizations deploying the Elasticsearch Platform for enterprise search and agentic AI deliver AI products faster, drive higher revenue, boost productivity, and strengthen operational resilience across the business.
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Discover the seven lessons we learned as we evolve our LLM observability practice to monitor and improve our AI applications.
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Fraud and waste continues to be a challenge for state and local government agencies in the US. Though the data exists, the challenge is pulling it all together for an accurate anomaly detection and remediation.
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As enterprises transition from search-driven experiences to agentic AI, requirements are shifting. Learn how context engineering and retrieval layers are now more critical for building trustworthy, production-ready AI agents.
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Agentic treasury requires more than AI. It needs searchable context, observable systems, and trusted data to reduce decision latency and support confident, governed action.
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Version 9.5.1 of the Elastic Stack was released today. We recommend you upgrade to this latest version . We recommend 9.5.1 over the previous versions 9.5.0 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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Version 9.4.5 of the Elastic Stack was released today. We recommend you upgrade to this latest version . We recommend 9.4.5 over the previous versions 9.4.4 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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Version 8.19.20 of the Elastic Stack was released today. We recommend you upgrade to this latest version . We recommend 8.19.20 over the previous version 8.19.19 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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In this newsletter, we cover version 9.5 of Elasticsearch, the latest blogs and videos, and upcoming events.
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LivePerson found that benchmarking Google Cloud machine types cut Logstash costs by over half using AMD Milan instances, while Kafka compression codec selection significantly boosted throughput.
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Elastic has achieved Defence Cyber Certification (DCC) Level 0 — the UK Ministry of Defence's baseline cyber assurance standard for the defence supply chain. Here's what it means and why it matters.
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Learn why trusted context — not just powerful AI models — is the foundation for scaling agentic AI in financial services. Discover how unified data, observability, enterprise search, and governance enable trusted autonomous operations.
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Our partners are proof that getting this architecture right drives real success. By building on Elastic’s unified platform rather than a fragmented portfolio, they bypass the friction of integrating disparate tools.
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Today, we are pleased to announce the GA of Elastic 9.5 as the latest version of the Elasticsearch Platform. This release includes a range of new features, including Columnar Mode, VectorDB index mode, and Agent Builder enhancements. Learn more.
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Azure Private Link for Elastic Cloud Serverless is generally available. Your traffic stays inside Azure's private backbone — no public internet exposure required.
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IDC research shows 72% of US public sector leaders struggle to scale AI. Learn how federated knowledge access unlocks mission outcomes.
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Today, we announced an expanded collaboration to bridge the gap between AI agents and the enterprise context they need, helping organizations build production-ready AI applications and agents using OpenAI models with Elasticsearch.
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Discover the power of approximate nearest neighbor (ANN) algorithms. ANN search is the key to lightning-fast searches and valuable insights in vast data landscapes.
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Discover the differences and similarities between knowledge graph and vector databases in this comprehensive guide. Explore their definitions and ideal use cases, and make an informed decision on which one to choose.
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Elastic and Cursor partner to bring Elasticsearch's retrieval, tools, and memory into Cursor's coding agents, giving developers a context engineering foundation that keeps AI grounded in their own data.
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Elastic announces the availability of Elastic Cloud Serverless in two additional Azure regions and two additional Google Cloud regions. Elastic meets customers where their data is — all around the globe.
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Elastic has achieved the AWS AI Security Distinction, awarded to partners with tech depth and real customer outcomes in AI and security. Elastic Security includes an AI agent, Elastic Workflows, LLM security detections, and agentic SOC capabilities.
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Fragmented SOCs can't keep pace with AI-driven attacks. See why security teams are moving from point tools to open, unified, agentic platforms in 2026.
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The Elastic AI Assistant for Security coupled with Anthropic’s Claude model via Amazon Bedrock can elevate a security team’s posture and eliminate mundane tasks.
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NVIDIA, Elastic, and other industry leaders are founding members of an innovative movement building tools to advance open innovation, shared progress, and trust in AI.
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In this post, I focus on the big ideas behind vectors, chunking, and RAG. These complicated concepts are explained in detail through easy-to-understand analogies and examples for a less technical audience to get started on semantic search.
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Discover has been around for quite some time in Kibana. But recently, we've added a new document table, field statistics, and the ability to create threshold alert rules.
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Find out how to better organize your Kibana dashboards and carry over your filters and queries when navigating between dashboards.
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Elastic Stack 8.11 introduces an advanced query language known as ES|QL in the Discover application, making data exploration more straightforward and user friendly. The Elastic Learned Sparse EncodeR (ELSER) is now generally available.
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Elastic Stack 8.9 delivers significant speed-up of aggregations for metrics, faster and more reliable cross-cluster searches, and management of alert rules using Terraform.
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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 build a GAI solution by exploring Amazon SageMaker JumpStart, Elastic, and Hugging Face open source LLMs using the sample implementation provided in this post and a data set relevant to your business.
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