Rubrik Annapurna & Agentspace: Secure AI data access

Rubrik announced that Rubrik Annapurna and Agentspace will explore ways to enable enterprises to securely access and utilise their data for AI-driven applications.

By acting as a secure data source for Agentspace, Rubrik can better ensure that enterprise AI models can retrieve, govern, and protect sensitive data with Zero Trust security on Google Cloud.

Build AI-powered applications

Annapurna and Agentspace can allow companies to confidently move AI projects from pilot to production

This intuitive offering will be designed to help businesses securely build and scale AI-powered applications, making the implementation process simple. 

By joining forces, Annapurna and Agentspace can allow companies to confidently move AI projects from pilot to production in the cloud by providing easy, secure access to data across cloud, on-premises, and SaaS environments. 

AI-driven insights

“For AI to deliver real business value, enterprises need secure, well-governed data foundations,” said Stephen Orban, VP of Migrations, ISVs, and Marketplace at Google Cloud.

“With Rubrik Annapurna as a secure data source for Agentspace, organisations can seamlessly and securely access their data within Rubrik to power AI-driven insights while maintaining strong governance and compliance.”

Enterprises struggling to balance AI innovation with security

Organisations are rapidly adopting Google Cloud to build AI-powered applications

Organisations are rapidly adopting Google Cloud to build AI-powered applications. However, many are struggling to move beyond the testing phase due to security, compliance and scalability concerns, especially as evolving cyber risks threaten business-critical AI data.

As a result, Gartner, Inc. predicts “at 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.”

Full potential of generative AI

“AI is only as powerful as the data behind it, but without strong security and governance, enterprises risk compliance violations and data exposure,” shares Arvind Nithrakashyap, Co-Founder and Chief Technology Officer at Rubrik.

“With Rubrik Annapurna and Agentspace, customers can now recognise the full potential of generative AI, while safely harnessing their enterprise data for AI and maintaining Zero Trust security.”

Google Cloud customers

The combination will seek to provide Google Cloud customers with:

• Fast, API-driven secure access to enterprise-wide data for AI training and retrieval
• Anomaly detection and access monitoring to prevent AI data leaks and unauthorised use
• Seamless AI data pipelines to integrate Google Cloud AI models with enterprise data
• Automated compliance enforcement to protect sensitive AI training data

Understanding the Rubrik & Agentspace Integration:

• Secure AI Retrieval: Customers will be able to leverage Rubrik Annapurna as a data source within Agentspace, helping ensure that AI models can securely retrieve enterprise-wide structured and unstructured data.
• Zero Trust Authorisation: Organisations will be able to control access via policy-based governance, helping ensure that only authorised AI models and users can query data within Agentspace.
• Streamlined AI Workflows: With this integration, businesses will be able to build AI-powered applications faster, without compromising security or compliance.

Data Security: Enterprise’s journey from AI pilot to production

By bringing Zero Trust security to AI training workflows, Rubrik Annapurna helps organisations govern, classify, and mobilise their enterprise data with confidence. With built-in anomaly detection and policy-driven data pipelines, it provides real-time access to AI training data while enforcing security policies at scale, helping businesses meet regulatory requirements without slowing down development.

This helps ensure that AI applications on Google Cloud are powered by high-quality, properly managed data that is essential for driving reliable, responsible AI innovation.