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What Agentic AI Is Really Made Of (Most People Miss This)

Agentic AI isn’t just an LLM. Without the right context, it gives generic answers. This is the component that makes its decisions actually useful. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

What problem is agentic AI trying to solve?

Agentic AI isn’t limited to security operations. It’s already improving hospitals, financial systems, and service industries by reducing overload and filling skill gaps. Here’s the problem it was actually built to solve. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

What is agentic AI? (explained in 60 seconds)

Agentic AI is the next evolution of artificial intelligence. Unlike traditional AI, it can act autonomously and make decisions on its own. Here’s what that actually means, without the hype. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

Observability trends for 2026 (Part 2): GenAI and OpenTelemetry reshape the landscape

Over the course of my 20 years as a developer, SRE, and now observability product leader, software has typically progressed at a good pace. But now, the emergence of two transformative technologies are fundamentally reshaping enterprise observability: generative AI (GenAI) and OpenTelemetry (OTel). We surveyed over 500 IT decision-makers for a new report:The Landscape of Observability in 2026: Balancing Cost and Innovation.

Elastic 9.3: Chat with your data, build custom AI agents, automate everything

Today, we are pleased to announce the general availability of Elastic 9.3 as the latest version of the Elasticsearch Platform — the world’s most popular open source platform for transforming both structured and unstructured data into trusted answers and outcomes. In addition to including new features that help developers with context engineering and agent building, Elastic 9.3 introduces a broad set of new capabilities to Elastic Search & AI, Elastic Observability, and Elastic Security.

How to Build AIPowered Search with Elasticsearch [2 Min Live Demo]

In this demo, we show how Elasticsearch enables production‑ready GenAI and AI‑powered search applications—from indexing and embedding your data to grounding large language models with RAG. You’ll see how developers can go from raw data to a fully functional GenAI search experience—fast Additional Resources.

Context engineering: The missing layer for trusted AI in financial services

Financial services AI demands more than models and prompts. Context engineering provides real-time, governed, and explainable intelligence with Elastic serving as the foundational context layer. Artificial intelligence in financial services is no longer constrained by model capability. The real bottleneck is context.

Elevating global operations: Mastering multi-cluster Elastic deployments with Fleet

In today's global enterprises, distributed infrastructure is the norm, not the exception. Organizations operate across continents and are driven by customer proximity and regulatory requirements. For the Elastic Stack, this reality often translates into a multi-cluster deployment model, where data is collected and stored in multiple geographically dispersed Elasticsearch clusters. But, why adopt complexity? The decision to decentralize data storage is generally driven by three critical factors.

Elastic and Google Cloud's powerful partnership in 2025

In 2025, Elastic and Google Cloud created a powerhouse of AI-driven insights, providing an end-to-end search, observability, and security journey for our joint customers. We continue to partner on many opportunities for success and have made even further progress this year to empower all our users, especially around generative AI (GenAI). This blog highlights our collaboration with Google Cloud to help you harness the power of data at scale as well as our top moments from Google Cloud Next ‘25.

Elastic at AWS re:Invent: Concluding a year of partnership in agentic AI innovation

Highlights of another laudable year of customer-centric collaboration The integration of Elastic’s capabilities, including vector databases and context engineering, with AWS services helps customers build intelligent, scalable, and secure applications faster and with greater flexibility. Our ongoing collaboration has resulted in another year of notable innovation with AWS. This blog highlights our continued collaboration with AWS throughout 2025 to help you capitalize on the power of AI.