Elastic

Air-gapped environments are some of the most sensitive in security, demanding the right partners at the core. In this conversation with Ken Exner, Rohan Grover from Google Cloud discusses the deep integration that makes Elastic an embedded security layer for Google Distributed Cloud air-gapped environments. A meaningful shift toward security built into the infrastructure itself. https://lnkd.in/eegd-2cn

A major step forward for air-gapped security: Elastic is now an embedded security layer for Google Distributed Cloud air-gapped environments, helping secure highly sensitive, regulated workloads. Through our deep integration with Google Cloud, Elastic’s agentic security operations platform delivers modern, AI-driven security into fully disconnected environments. For organizations operating under the strictest sovereignty and regulatory requirements, this unlocks: • AI-driven detection and response to combat modern, AI-powered threats • Unified SIEM + XDR + automation, without added tools or complexity • Full operational control, without compromising speed or visibility See how this changes what security can look like in air-gapped environments: https://go.es.io/41Sfcog

New native Prometheus and PromQL support for Elastic Observability has arrived. 25x faster queries than Prometheus. 2.5x storage savings. Overnight migration. As infrastructure scales, surges in telemetry cardinality and volume force SREs to juggle disconnected tools and duplicate data pipelines. This fragmentation slows incident response and drives up operational costs. Elastic eliminates these trade-offs by bringing your Prometheus workflows into a single AI-powered platform: • Direct Prometheus ingestion: Use Remote Write to stream metrics straight into Elasticsearch, now available in tech preview without adapters or format translations. • Native PromQL in Kibana: Start exploring native PromQL support in tech preview to run existing queries in dashboards and alerts without modification. • Unified analysis: Analyze native Prometheus data alongside logs and traces in one environment to reduce time to root cause. Ready to start running your PromQL queries in Kibana? See how to write and execute PromQL for metrics analysis in Discover, Dashboards, and alerting rules, all with a near-zero learning curve. https://go.es.io/4e6uwVF

Running search, security, or observability at scale usually comes down to a simple tradeoff: performance or cost. In collaboration with Google Cloud, we’re ending that compromise. Google Axion ARM instances are now available on Elastic Cloud Hosted, bringing the next generation of compute to your workloads. The impact? • 25% better price-performance for indexing-heavy and query-intensive tasks. • Faster data processing across all your Elastic solutions. • Zero friction: Same workflows, more efficient infrastructure. No changes required to how you deploy or operate. Learn how to maximize your performance and efficiency: https://go.es.io/4vTGg4r

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