Rubrik Inc will integrate Rubrik Annapurna, its single API service for customers building generative AI applications, with Amazon Bedrock.
Rubrik Annapurna is designed to enable fast access to secure data embeddings from Rubrik Security Cloud, which spans enterprise-wide data and metadata across on-premises, cloud, and SaaS. Annapurna’s secure data retrieval capabilities will work with Amazon Bedrock, enabling customers to access a broad selection of high-performing foundation models to build enterprise-grade generative AI applications.
“Organisations are faced with significant complexity when developing AI applications due to challenges around data access and sensitive data permissions,” said Rubrik CEO Bipul Sinha. “This could lead to applications that lack relevant knowledge or don’t adhere to access controls.”
“Rubrik Annapurna helps to unlock Rubrik Security Cloud’s enterprise data and metadata. Combined with Amazon Bedrock, which offers a vast collection of proven foundation models and enterprise-grade capabilities, we can deliver to customers powerful and secure pre-embeddings that turbocharge generative AI initiatives,” he added.
“Amazon Bedrock brings together proven foundation models through a unified API, making it simple for enterprises to build and scale generative AI applications with built-in security and privacy,” said AWS’s Chris Sullivan. “Rubrik’s integration of Amazon Bedrock with its Annapurna API service helps customers better leverage all their data, regardless of where it resides, to drive customised, secure generative AI applications.”
Annapurna’s integration with Amazon Bedrock aims to advance organisation’s AI innovation with:
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Fast API-first secure data access: Configurable access to all of an organisation’s data and metadata managed by Rubrik Security Cloud, which spans cloud, on-premises, and SaaS apps. Rubrik Annapurna can dynamically update access as data refreshes, permissions change, and sensitive data is introduced.
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Out-of-the-box, application-aware embedding engine: Rubrik Annapurna is designed to provide secure embeddings of enterprise data and metadata via its single API. These embeddings recognise common application schemas and are customisable to help accelerate the development of data retrieval for retrieval-augmented generation.
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Easy mobilisation of data: Easily access and configure all enterprise data and metadata across SaaS, legacy, and homegrown applications like CRMs, billing, and knowledge management systems. Connect them all without custom APIs, cumbersome extract transfer load processes, or custom data pipelines.
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Avoid shadow datastores: One flexible and configurable datastore designed to be used across all of an organisation’s AI applications, reducing costs, management overhead, and risk.
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A more intelligent customer support expert for every rep: Provide expert-like resolutions based on historical information that pulls data from Salesforce Service Desk, as well as current engineering conversations from Microsoft Teams chat, and even recently published technical documentation in an organisation’s proprietary knowledge base.
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A smarter sales assistant for every sales team: Build a powerful sales assistant that connects multiple disjointed applications such as Salesforce CRM, emails, Teams chat, and even Zoom recordings sitting in Amazon Simple Storage Service buckets. Sales teams can rapidly get a 360-degree summary and qualitative review of customer deals with organisational context from customer emails, phone conversations, and the relevant internal communications across the team.
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A more creative marketing assistant: Build a highly dynamic marketing assistant that can create more original presentations from multiple, disparate sources, no matter where the insights live. The marketing assistant can leverage existing presentations and documents in OneDrive, as well as new product documentation in a proprietary knowledge management system, and also access customer feedback in call recordings in Amazon S3.
