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By Oksana Abramovych
A recent IDC Spotlight report based on a survey of 685 public sector respondents found that 72% describe scaling AI from pilot to production as "very" or "somewhat" difficult.¹ Choosing the right model is only part of the challenge. Agencies also need to get their data ready for AI.
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By Leanne Link
The new columnar metrics engine in Elastic Observability enables public sector IT teams to combine logging, metrics, and traces in one platform. As a result, SREs can improve uptime while protecting taxpayer dollars in the process. Public sector site reliability engineers (SREs) operate under a distinct set of pressures, whether that’s supporting a federal agency, a health department, a public university, or a transit authority.
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By Marcus Jeffes
How to build governance into autonomous security agents from the architecture up The industry has moved fast on capabilities. Agents now triage alerts, investigate endpoints, create detection rules, and enrich indicators, and they are even capable of performing most actions we as security operators can perform. The architecture patterns are maturing, as are the models, but governance is not keeping pace.
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By Sunnie Weber
Incident response often depends on connecting two kinds of context: what changed in the environment and what the logs say happened next. Through a new integration with Elastic, Anyshift’s AI agent, Annie, can read from a customer’s Elasticsearch deployment to search logs, surface error and warning spikes, and correlate log evidence with infrastructure change history.
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By Sunnie Weber
Gigamon COO Gareth Maclachlan on deep observability, the Elastic AI Ecosystem partnership, and AI traffic governance for security teams.
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By Jeremy Pell
New research reveals why Australian businesses are entering the new financial year with bigger AI budgets and the same unsolved problem. One in three Australian businesses exceeded their AI budget last year. Yet, half of them plan to increase AI spending again this year. Yet the behaviour that caused those budget overruns remains largely unaddressed.
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By Charles Davison
Making custom Elastic integrations better with both Automatic Import improvements and Integration Skills Elastic 9.4 shipped two tools for building custom integrations: Both are available today.
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By Emily Chioconi
By benchmarking five GCP machine types across both Logstash and Kafka, LivePerson's observability team found that infrastructure selection (not just pipeline configuration) is one of the highest-leverage cost optimization decisions at scale.
Focusing on GenAI and logs for IT efficiency Efficiency is everything for managing today’s digital systems. Technology is constantly transforming and expanding operations are driving an explosion in data. Consequently, data ingest and storage costs have soared. But it’s not just storage data costs that keeps teams behind.The challenge of managing all that observability data forces IT teams to choose between efficiency and the bottom line.
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By Sunile Manjee
How do you make search faster, smarter, and more scalable? During our recent webinar, I sat down with Luke Patterson, senior product manager at WP Engine, and Delphin Barankanira, independent software vendor partner engineering lead and data & AI specialist at Google Cloud, to answer that question. We dug into the mechanics behind WP Engine’s ability to deliver near-instant updates to over 2 million users.
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By Elastic
Explore the real capabilities and limitations of AI in system and SIEM migrations. Learn where AI accelerates processes and where human review remains essential. 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.
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By Elastic
In this conversation recorded at Elastic’s New York office, three product leaders discuss how AI agents are transforming enterprise software. The discussion features Steve Kearns (general manager, Search solutions at Elastic), Mike Nichols (general manager, Security solutions at Elastic), and Baha Azarmi (general manager, Observability at Elastic). They explain how Elastic Agent Builder allows teams to interact with their data using natural language instead of complex queries.
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By Elastic
Learn how large language models (LLMs) are transforming productivity in business, coding, research, and daily workflows. Discover practical ways to use AI tools to automate tasks and improve efficiency. 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.
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By Elastic
Explore how artificial intelligence enhances search engines through semantic understanding, vector embeddings, and contextual retrieval. Learn how AI-powered search delivers faster and more accurate results. 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.
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By Elastic
Discover when the term artificial intelligence was first introduced and how it shaped the future of AI research and machine learning. This video breaks down the origin of AI and its historical significance in modern technology. 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.
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By Elastic
Real-time camera deepfakes are no longer science fiction. High-fidelity, AI-generated impersonation may be advancing quickly — but that's not the only AI risk financial services companies should be thinking about. In this episode of AI Can Do What Now?!, Lisa Jones-Huff, director of security solutions architecture at Elastic, sits down with ethical hacker Freakyclown (FC) to explore what is technically possible today with AI, where reality still falls short of the hype, and what security teams should be worried about.
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By Elastic
What is the most immediate risk financial services companies face today? AI-enabled social engineering is already accelerating real-world attacks. Scale, personalization, speed, and automation are lowering the barrier for attackers while making fraud detection more complex for defenders. In this episode of AI Can Do What Now?!, Lisa Jones-Huff, director of security solutions architecture at Elastic, is joined by ethical hacker Freakyclown (FC), and principle solutions architect Joe Murin to explore what is actually happening right now — beyond the hype.
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By Elastic
Agentic AI doesn’t replace analysts, it augments them. The real value comes from making teams more efficient, not smaller. This is the perspective most people miss. 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.
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By Elastic
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.
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By Elastic
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.
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By Elastic
Learn how you can use Elastic Stack and X-Pack features, from role-based access control to data encryption, to get your Elasticsearch data ready for GDPR.
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Elastic is the world's leading software provider for making structured and unstructured data usable in real time for search, logging, security, and analytics use cases. Built on an open source foundation, the Elastic Stack lets you reliably and securely take data from any source, in any format, and search, analyze, and visualize it in real time.
The Elastic Stack:
- Kibana gives shape to your data and is the extensible user interface for configuring and managing all aspects of the Elastic Stack.
- Elasticsearch is a distributed, JSON-based search and analytics engine designed for horizontal scalability, maximum reliability, and easy management.
- Beats is a platform for lightweight shippers that send data from edge machines to Logstash and Elasticsearch.
- Logstash is a dynamic data collection pipeline with an extensible plugin ecosystem and strong Elasticsearch synergy.
Founded in 2012 by the people behind the Elasticsearch, Kibana, Beats, and Logstash open source projects, Elastic's global community has more than 80,000 members across 45 countries. Since its initial release, Elastic's products have achieved more than 100 million cumulative downloads.