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Elastic Blog - Elasticsearch, Kibana, and ELK Stack

The search multiplier: Driving revenue, productivity, and AI at scale Elastic Stack 9.5.2 released ECK 3.5: Dynamic namespaces, pause orchestration, and mTLS everywhere 7 lessons for IT leaders on using observability to monitor AI applications How state and local agencies can get ahead of fraud starting with the data they already have Why agentic treasury needs search and observability From retrieval to agents: 5 takeaways on production architecture for AI agents Elastic achieves Defence Cyber Certification Level 0 in the UK Elastic community newsletter — August 2026 Elastic Stack 8.19.20 released Elastic Stack 9.5.1 released Elastic Stack 9.4.5 released Building trusted agentic AI in financial services: From data to autonomous action Azure Private Link for Elastic Cloud Serverless is now generally available Elastic 9.5: Columnar, VectorDB index mode & auto-calibration, and AI-driven alert triage AI consolidation: Why platforms will win and portfolios will break Closing the AI gap in government: Next-gen knowledge access | Elastic Elastic and OpenAI collaborate to bring frontier intelligence to unstructured enterprise data Elastic Cloud Serverless continues global expansion to 4 more regions Elastic joins NVIDIA and industry leaders as inaugural member in the Open Secure AI Alliance Rethinking the SOC: From tool procurement to platform architecture Elastic’s new metrics capabilities will dramatically improve uptime for public sector IT Elastic and Deductive AI join forces to accelerate agentic incident investigation for engineering teams Higher education analytics for the ultra-intelligent university Elastic Stack 8.19.19 released Elastic Stack 9.4.4 released Elastic Stack 9.3.8 released Elastic Stack 9.4.3 released Elastic and Axonius integrate to deliver unified asset intelligence for security teams Elastic’s guide to AI in the interview process
Elastic achieves the AWS AI Security Distinction, securin...
ByUday TheepireddyBrian BergholmJennifer MichelJuly 16, 2026 · 2026-07-16 · via Elastic Blog - Elasticsearch, Kibana, and ELK Stack

Learn how five years of security innovation from cloud-native threat detection to AI security and an autonomous SOC earned Elastic the newest recognition from AWS.

Summary

  • Elastic builds on five years of security innovation to achieve the AI Security Distinction in the AWS Security Competency
  • Elastic has kept pace with a threat landscape that has changed faster in the past two years than in the previous decade.
  • Elastic natively integrates with Amazon GuardDuty, Amazon Security Hub, Amazon Security Lake, Amazon Inspector, and Amazon Bedrock.
  • Elastic AI Agent, Workflows, LLM security detections, and agentic SOC platform capabilities are all available in Elastic Security.

Security has never been more challenging. AI-powered attacks are accelerating, alert volumes continue to grow, and security teams can't scale through manual investigation alone. That's why Elastic spent the past several years reimagining Elastic Security — the agentic security operations platform that unifies SIEM, EDR, cloud security, and AI-driven workflows on a single platform built on Elasticsearch. 

Today, that vision has earned Elastic the AI Security Distinction in the AWS Security Competency. This recognition validates Elastic's ability to help organizations secure both their environments and the AI systems they are building. Amazon Web Services (AWS) awarded the specialization based on rigorous technical validation, proven customer references, and third-party proof that Elastic Security delivers market-leading efficacy without compromise.

As enterprises adopt generative and agentic AI, they face emerging threats ranging from prompt injection and model abuse to attacks on autonomous agents. Elastic helps organizations secure both their AWS infrastructure and AI applications through a unified platform, providing visibility into AI-specific risks, such as untrusted model onboarding, agent manipulation, retrieval augmented generation (RAG) data poisoning, and safety control tampering while enabling a faster path to secure, AI-powered innovation. The AWS AI Security Distinction is more than an award; it’s recognition of Elastic's leadership in helping organizations secure the future of AI.

Continued security innovation

And the innovation just keeps going. With the Elastic 9.4 release, Elastic Workflows is now generally available. It combines both scripted automation and agentic reasoning, enabling AI agents to act on their findings. Workflows brings native automation directly into Elastic Security, automating triage, enrichment, response, and case management where security data already lives.

Attack Discovery already powers correlated findings within the stack. The same agentic pattern extends into Elastic Workflows, which automates deterministic tasks, such as entity enrichment, case creation, and host isolation while Elastic Agent Builder reasons over the data and invokes those workflows as tools. Together, Elastic Workflows and Agent Builder deepen these capabilities within the stack. 

Four new Entity Analytics capabilities are also included in the 9.4 release: Precision Entity Identification, Entity Resolution, Dynamic Watchlists, and Entity-Driven Hunting Leads. Together, these capabilities give analysts one authoritative record per person with aggregated risk, organizational context, and proactive hunting leads built in. For AI agents that reason over security data, this provides more accurate context to work from.

Getting started

For Elastic customers on AWS, there is no migration required. The Elastic AI Agent, Workflows, LLM security detections, and agentic SOC capabilities are available in Elastic Security today.

To learn more, explore:

The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.

In this blog post, we may have used or referred to third party generative AI tools, which are owned and operated by their respective owners. Elastic does not have any control over the third party tools and we have no responsibility or liability for their content, operation or use, nor for any loss or damage that may arise from your use of such tools. Please exercise caution when using AI tools with personal, sensitive or confidential information. Any data you submit may be used for AI training or other purposes. There is no guarantee that information you provide will be kept secure or confidential. You should familiarize yourself with the privacy practices and terms of use of any generative AI tools prior to use. 

Elastic, Elasticsearch, and associated marks are trademarks, logos or registered trademarks of Elasticsearch B.V. in the United States and other countries. All other company and product names are trademarks, logos or registered trademarks of their respective owners.