When it comes to generative AI, moving from pilot projects to full-scale production is a critical milestone but often faces significant challenges. Gartner predicts that “[a]t least 30% of generative AI (GenAI) projects will be abandoned after proof of concept by the end of 2025, due to poor data quality, inadequate risk controls, escalating costs or unclear business value.”1
These hurdles make it clear that simply having powerful models isn’t enough; enterprises need a secure, adaptable data foundation to fully realize the potential of AI.
To address these challenges, Rubrik is introducing Rubrik Annapurna for Amazon Bedrock. This aims to be a first-of-its-kind solution designed to combine Rubrik’s secure data access with Amazon Bedrock’s high-performing foundation models. Together, Rubrik and AWS announce a collaboration to fast-track building generative AI applications that aim to be not only scalable but meet the highest standards of data security, governance, and compliance—ensuring AI projects can move seamlessly from prototype to production.
Secure Data Infrastructure for Enterprise-Scale AI
Rubrik Annapurna is designed to tackle key obstacles in generative AI app development by providing a structured and secure approach to managing enterprise data across complex environments. Essential features of the design include:
Fast, API-Based Data Access: Rubrik Security Cloud provides API-first access to all cloud, SaaS, and enterprise data. This approach allows for dynamic data refreshes and real-time permissions updates. It also supports automated sensitive data management, which expands data compliance efforts without the need for manual intervention.
Application-Aware Data Embeddings: Rubrik’s embedding architecture creates secure, application-aware data embeddings through a single API, making data readily available for retrieval-augmented generation (RAG) workflows. These embeddings will be designed to leverage Rubrik’s understanding of common application schemas, ensuring relevant and compliant data for AI models.
Seamless Data Integration: One of the biggest hurdles in enterprise AI is integrating data from various sources. Rubrik aims to simplify this by connecting SaaS, legacy, and custom applications without requiring custom APIs or complex data pipelines, which cuts down integration costs and reduces compliance risks.
Eliminating Redundant Datastores: By centralizing data management within a single, flexible datastore, Rubrik helps avoid the creation of shadow datastores, reducing management complexity and ensuring that a compliant, secure version of enterprise data is available for AI applications.
Enabling Innovation Across Key Business Functions
The Rubrik and Amazon Bedrock integration will be designed to enable targeted AI use cases that drive enterprise-wide innovation, such as:
Customer Support Intelligence: Rubrik Annapurna will help enable AI-driven support systems that can pull secure knowledge from Salesforce, Microsoft Teams, and proprietary knowledge bases, providing expert-level responses that improve customer satisfaction while keeping sensitive data protected.
Sales Insights: Rubrik’s solution will be designed to give sales teams a 360° view of customer interactions by securely integrating CRM records, emails, chat logs, and video call data. This aims to empower teams with contextual insights for more informed decision-making and personalized engagement strategies.
Dynamic Marketing Content: The solution aims to empower marketing teams to quickly aggregate insights from diverse sources, including OneDrive, knowledge management systems, and S3 call recordings. This can enable the creation of data-rich, original marketing content, streamlining compliance and enhancing quality by ensuring sensitive customer data is protected.
Built-In Security and Compliance Safeguards
For organizations prioritizing security and compliance, Rubrik Annapurna is designed to offer robust safeguards:
Sensitive Data Suppression and Filtering: Rubrik’s policies designed to filter out or obfuscate sensitive data before it reaches generative AI models help protect against accidental exposure and help businesses manage requirements with regulations like GDPR, CCPA, and HIPAA.
Source Role-Based Access Control (SRBAC): Rubrik maintains role-based access controls from the data source, to limit access based on user permissions. This helps protect data integrity and security across all AI applications.
Amazon Bedrock Guardrails: Amazon Bedrock Guardrails along with Rubrik’s protections will work together to provide prompt filtering, content moderation, and contextual grounding checks to help safeguard against unauthorized data use and mitigate risks in generative AI.
Accelerate Generative AI Application Development
Rubrik Annapurna for Amazon Bedrock will be designed to empower enterprises with a secure, scalable, and compliant foundation for generative AI. By simplifying data access, ensuring seamless integration, and embedding robust security, Rubrik and AWS aim to empower organizations to rapidly develop generative AI applications.
Learn More
To explore how Rubrik Annapurna and Amazon Bedrock can transform your generative AI initiatives, download our solution brief, or check out our demo guiding you from pilot to production-ready AI with confidence. To learn more, visit the Rubrik Booth #1948 at AWS re:Invent.
SAFE HARBOR STATEMENT
Any unreleased services or features referenced in this blog are not currently available and may not be made generally available on time or at all, as may be determined in our sole discretion. Any such referenced services or features do not represent promises to deliver, commitments, or obligations of Rubrik, Inc. and may not be incorporated into any contract. Customers should make their purchase decisions based upon services and features that are currently generally available.