Elastic, the company behind Elasticsearch®, announced a new two-year global Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS) to make it easier for shared customers to advance their pursuit of generative artificial intelligence (AI) using Elastic Cloud on AWS.
The new SCA will accelerate the integration of Amazon Bedrock into the Elastic AI Assistant, enabling customers to get richer and more contextualized and relevant results by using their preferred large language models (LLMs), coupled with the organization’s unique IT environment and proprietary data sets. Amazon Bedrock is a fully managed service that makes foundation models from leading AI providers accessible via an API to build and scale generative AI applications.
The first integration with the Elastic AI Assistant will be for security use cases, with observability use cases to follow. The Elastic AI Assistant utilizes generative AI to bolster an organization’s cybersecurity operations team. It allows users to interact with Elastic Security for tasks such as alert investigation, incident response, query generation or conversion using natural language, and much more.
“Randstad has been using Elastic Security to run their SOC, monitor with in-depth visibility, and respond to threats in our cloud workloads for years,” said Stijn Holzhauer, technical lead security monitoring at Randstad Group Netherlands. “Now, we’re looking at ways to safely leverage generative AI in production for detection engineering, especially with our small but mighty security team. We look forward to implementing Elastic’s AI Assistant and Amazon Bedrock to decrease our investigation time, reduce skill shortage impact, and improve our detection capabilities.”
Elastic AI Assistant’s open framework enables users to adapt to the rapidly shifting LLM landscape — easily connecting to new models to facilitate comparing and adopting domain-specific models for different applications.
“The integration of Elastic’s AI Assistant into Amazon Bedrock expands the choice of generative AI models for customers to provide greater choice and flexibility, depending on their needs,” said Mona Chadha, director of Infrastructure Partners, AWS.
“This new collaboration with AWS demonstrates our shared commitment to helping customers enhance their conversational AI experiences to strengthen customer service and boost productivity,” said Laurent Mechain, vice president, Strategic Alliances, Elastic.
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...