Elastic & AWS partner to enable secure generative AI apps

Elastic has entered into a five-year strategic collaboration agreement with Amazon Web Services (AWS) to support organisations in building secure, generative AI-powered applications with greater speed and reduced complexity.

The agreement is focused on joint product integrations and go-to-market initiatives that aim to enable customers to transition into AI-native enterprises more efficiently. It brings together Elastic's Search AI Platform and AWS services, with a particular emphasis on facilitating work in highly regulated sectors such as the public sector and financial services.

Under this agreement, the companies will invest in technical integrations, including support for Amazon Bedrock and Elastic Cloud Serverless, to help customers drive AI innovation. The collaboration is designed to allow customers to leverage generative AI features by making use of high-performing foundation models available through Amazon Bedrock. It also offers support for migrating Elasticsearch workloads from on-premise data centres to Elastic Cloud on AWS, ongoing cost efficiencies for users of Elastic Cloud Serverless, and enhanced agentic AI capabilities through work on Model Context Protocol (MCP) and agent-to-agent interoperability.

Commenting on the collaboration, Ash Kulkarni, Chief Executive Officer at Elastic, said: "As the speed of generative AI adoption accelerates, search has become increasingly relevant. Our collaboration with AWS and integration with Amazon Bedrock brings the power of search directly to generative AI for a host of use cases, including cybersecurity and observability. Together, we're enabling developers to build intelligent, context-aware applications that leverage their own data securely and at scale."

Ruba Borno, Vice President, Specialists and Partners at AWS, said: "Together with Elastic, we're helping customers transform how they leverage data and AI to drive innovation. This strategic collaboration delivers particular value for highly regulated industries requiring robust data protection, while our shared commitment to standards like Model Context Protocols enables seamless agent-to-agent interactions. Available through AWS Marketplace, customers will be able to quickly deploy solutions that combine Elastic's powerful search capabilities with Amazon Bedrock on the secure, global AWS infrastructure, helping them build compliant, intelligent applications that accelerate their AI journey."

The collaboration is already producing results for organisations such as Generis and BigID. Mariusz Pala, Chief Technology Officer at Generis, said: "The strength of the Elastic and AWS partnership has been fundamental to Generis's mission of delivering secure, compliant, and intelligent solutions for clients in highly regulated industries. By deploying Elastic on AWS, we've reduced average search times by 1000% and cut the time to produce complex, compliance-driven documents from two weeks to just two days, providing our clients real-time insights while upholding the highest standards of data integrity and control."

Avior Malkukian, Head of DevOps at BigID, said: "Leveraging Elastic Cloud on AWS has been transformative for BigID. We've achieved a 120x acceleration in query performance, enabling real-time data insights that were previously unattainable. The scalability and flexibility of Elastic Cloud on AWS allow us to efficiently manage vast and complex data landscapes, ensuring our customers can swiftly discover and protect their sensitive information. Elastic Cloud on AWS is a powerful combination that allows us to deliver innovative features, reduce operational costs, and maintain our leadership in data security and compliance."

The integration of Elastic's AI-powered solutions with AWS services includes features such as Elastic AI Assistant, Attack Discovery, Automatic Import, Automatic Migration, Automatic Troubleshoot, and AI Playground, all of which interact with Large Language Models through Amazon Bedrock. These integrations help customers to conduct root cause analysis more quickly, synthesise complex data signals, automate data onboarding, and simplify the migration process. Natural language and retrieval-augmented generation (RAG)-powered workflows are designed to enable teams to interact with their data more intuitively and support faster decision-making.

Elastic's relationship with AWS has been recognised within the AWS Partner Network. In December 2024, Elastic was named AWS Global Generative AI Infrastructure and Data Partner of the Year, and it was among the first group of AWS software partners acknowledged with the AWS Generative AI Competency. The company has also received AWS competency designations for the government and education sectors earlier this year.