Palo Alto security and AI operations company Rubrik has unveiled the next stage of its Annapurna offering, in a push to position the platform as the AI-ready unstructured data layer of choice for enterprise data intelligence.
The firm’s Annapurna platform makes unstructured data AI-ready, scanning and cataloguing it across distributed systems and feeding it directly into a queryable lakehouse. A data lake is a centralised repository allowing for the storage of data in its native format.
“For years, the model to make unstructured data usable for AI meant to move, transform, and store it twice, while paying for the whole estate just to use a fraction,” said Anneka Gupta, Chief Product Officer, Rubrik. “Annapurna completely inverts that model. It activates data right where it lives, delivers only what Data Intelligence platforms actually need and aligns infrastructure costs to consumption. That is how enterprises truly scale AI.”
The company said that operating on Rubrik Security Cloud, the unified management plane, the platform auto-discovers, scans, and indexes billions of files across Network-Attached Storage, Amazon Simple Storage Service, and object stores. “Organisations pull only the precise subsets they need for training, fine-tuning, and inference, allowing pipeline costs to scale 1:1 with consumption,” it said.
Key Annapurna capabilities include:
Automated Data Discovery: Auto-discover, scan, and index the full unstructured estate across NAS, S3, and object stores. Raw source files are processed in place with no need to copy or migrate.
Continuous Governance: Preserves native source-system access controls directly within the catalog so Data Intelligence platforms can continuously enforce controls in downstream workflows, closing the security gap created when traditional ETL strips access permissions in transit.
Immutable Chain of Custody: Leverages Rubrik’s Zero Trust foundation to ensure every file Annapurna stages into its managed object store carries verifiable lineage and versioning from source through AI output, with provenance capabilities that directly support general data protection regulation (GDPR) and other compliance programs.
