Elastic

Your data, your VPC, your rules. Jina Embeddings v3 is now available as a self-deployable partner model on Gemini Enterprise Agent Platform Model Garden. What does this mean? Developers and enterprises can deploy high-performance embeddings directly within their own Google Cloud projects and Virtual Private Clouds (VPCs). By eliminating external API calls, you gain full control over your data, infrastructure, and costs. This architecture delivers: 🔹 Total Data Control: Sensitive data never leaves your security perimeter, ideal for regulated industries like finance, healthcare and public sector. 🔹 Predictable Pricing: Pay a flat hourly rate for compute rather than per-token metering. A pricing model that rewards scale. 🔹 Native Integration: Seamlessly connect with the Google Cloud services you already use, including BigQuery, Cloud Storage, and IAM for unified security and billing. Stop choosing between performance and control. Read more: https://go.es.io/4n3Z2SJ

Stop switching tabs. Your AI tools are now the workbench. Elastic is the first to ship interactive workflows for security and observability directly in AI tools, with an MCP App for search alongside. You can now triage alerts, investigate threats, build dashboards, and troubleshoot systems through a real interactive UI, not text summaries. This is the shift: The answer isn’t a summary anymore. It’s the workflow itself. Here is what that looks like in practice: • Triage & Resolve: Manage alerts through AI verdict panels and create cases without leaving the conversation. • Query & Visualize: Run ES|QL queries and build interactive dashboards from natural language. • Investigate Inline: Analyze threats through entity graphs and explore distributed traces directly in the chat. All three MCP Apps are open source reference implementations built on the MCP apps spec co-authored by Anthropic and OpenAI. More here: https://go.es.io/4cquZAW

Winning the 2026 Google Cloud Partner of the Year Award for Data Management & AI proves one thing: the value of GenAI is only as good as the data securely connected to it. This marks the fifth time Elastic has been recognized for excellence in the Google Cloud ecosystem. By acting as the only native grounding engine within Vertex AI, we’re helping teams skip complex pipeline builds to deploy accurate AI faster while maintaining full control over data sovereignty and infrastructure costs. How we’re delivering value today: •Native Grounding: Direct UI/SDK integration feeds Gemini the right context instantly. •Agentic AI: Elastic AI agents are live on the Google Cloud Agent Marketplace to automate complex workflows. •Search-Powered Security & Obs: Use Gemini-driven reasoning to shut down threats and resolve log chaos on a single platform. Read the full announcement for a deeper look at the customer results driving this recognition: https://go.es.io/4mO3zsk Heading to #GoogleCloudNext tomorrow? Stop by the booth to see this exact architecture in action.

Introducing cross-project search for Elastic Cloud Serverless. This new capability allows you to search across all your workloads from a single pane of glass, without moving your data. Query distributed Elastic Serverless projects as one while maintaining native project isolation. Cross-project search allows you to keep data separated by region, team, tenant, or environment while maintaining global visibility. Security and Observability teams can query data across linked projects to gain full context, without copying or consolidating data. Learn more: https://go.es.io/4cnNzJX

What does it actually take to make AI work with your data? At Google Cloud Next, Elastic is going beyond the demo, sharing how teams are building GenAI and Agentic AI systems that perform in real environments. From architecture decisions to real-time investigations, these sessions unpack the practical side of AI on Google Cloud, with the context, speed, and scale teams need. You’ll hear how to: → Design for performance and efficiency from the start → Build AI that understands and acts on your data, not just prompts → Move from reactive workflows to AI-driven operations Swipe to explore the sessions, and save this for when you’re planning your schedule. #GoogleCloudNext

With Elastic integrated into Google Distributed Cloud air-gapped infrastructure, customers can use an agentic SOC platform to combat today’s AI-enabled cyber threats. Our security platform unifies AI-driven SIEM, XDR, and native automation, delivering "always-on" defense for the world’s most critical air-gapped environments. Our CPO Ken Exner and Google Cloud's Rohan Grover recently discussed how this integration helps regulated organizations innovate without sacrificing sovereignty—protecting sensitive data even when it’s completely offline. It’s a practical path for securing high-stakes missions while maintaining operational control. https://lnkd.in/eegd-2cn

ICYMI: Elastic Cloud Hosted is now FedRAMP® High Authorized on Amazon Web Services (AWS) GovCloud (US)! Building on our team's growing presence in the public sector, U.S. federal agencies can now deploy Elastic Cloud Hosted to support the most sensitive government data, helping teams turn massive volumes of sensitive data into actionable insights while meeting rigorous security and compliance requirements. U.S. agencies responsible for law enforcement, emergency response, public health, financial systems, and national security operations can use Elastic Cloud Hosted with a secure and compliant foundation for: •Security information and event management (SIEM) •Threat detection and response •Zero Trust architecture initiatives •Large-scale logging and compliance programs •Mission search and AI-driven citizen and analyst experiences Explore how Elastic enables mission-critical outcomes across federal agencies: https://go.es.io/4t2OTrm

Turn your data into real AI impact, faster. At Google Cloud Next '26, see how Elastic + Google Cloud help you go from data to production-ready GenAI and Agentic AI, without the usual complexity. Build faster. Scale smarter. Spend less. With unified Search, Security, and Observability, you can accelerate innovation while Elastic and Google handle the heavy lifting behind the scenes. Stop by the Elastic booth to see how our partnerships give you the control to build and deploy AI your way. See you there. https://go.es.io/3ODmcSS

Scaling AI from pilot to production requires aligning your strategy with a high-performance architecture. In our NVIDIA partnership, we provide ready-built stacks that let experts handle the “plumbing” so your team can focus on solving unique business problems. Learn more: https://go.es.io/41n58n1

Like any distributed system, running Elasticsearch on Kubernetes at scale comes with some challenges of scale, from monitoring blind spots to managing configurations across clusters. With ECK 3.3.1, we are introducing new capabilities to help teams operate more efficiently with less manual intervention: • AutoOps via Cloud Connected, now generally available, for automated health monitoring and root cause analysis • A self hosted Elastic Package Registry for air gapped environments • Composable Stack Configuration Policies for layered, scalable configuration management Together, these enhancements make it easier to manage Elasticsearch across environments, whether you are running a few clusters or hundreds. Read what is new in ECK 3.3.1 → https://go.es.io/47Ab9QW