Nasuni Has Launched AI File Data Platform
The company introduced new tools and acquired DryvIQ to help enterprises prepare their proprietary data for AI models.
Updated on Oct. 6, 2026 in Cybersecurity
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Nasuni has released AI Activate and Resilio 6.0 while acquiring the company DryvIQ to help businesses manage data for AI. These tools aim to assist enterprises in organizing unstructured data while maintaining sovereignty through customer-owned storage.
Why it matters
Many enterprises currently struggle to safely access and utilize their own proprietary data for AI models. This platform provides a structured framework to help organizations bridge that gap and prepare their internal data for generative AI applications.
The new release features Resilio 6.0 and the PSYCHIC data readiness framework. The platform operates via a single global namespace and utilizes customer-owned object storage to ensure data sovereignty.
The players
Nasuni
This enterprise data platform company serves more than 1,300 organizations worldwide with storage and management solutions.
DryvIQ
This technology company was acquired by Nasuni to support the expansion of its data management capabilities.
Gartner
This global research and advisory firm provides insights into the enterprise data stack landscape.
The details
By integrating the acquisition of DryvIQ with its new AI Activate platform, Nasuni enables companies to protect and categorize unstructured data. The system is designed to streamline the technical pipeline required to move proprietary company data into active AI training environments.
Timeline
Gartner published research on enterprise data stacks on July 17, 2026.
Nasuni announced the product releases and platform availability on October 6, 2026.
The company plans to roll out Enterprise Search to customers in Q4 2026.
The Tech Race
This release follows the trend where 75% of organizations are prioritizing AI-ready data investments as identified in July 2026 Gartner research. The move positions Nasuni to compete by shifting from simple data storage to becoming an active participant in the enterprise AI model supply chain.
Enterprises using these tools gain the ability to organize their unstructured data, which can simplify the process of deploying internal AI models. Users will likely see workflow improvements once the integrated search capabilities become available later this year.
The takeaway
Organizations looking to leverage proprietary information for AI must prioritize the readiness of their underlying data architecture. Proper management of these assets is essential to ensure security and accessibility as firms integrate new automated systems.
What happens next
Nasuni is scheduled to roll out the Enterprise Search feature to its customer base during the fourth quarter of 2026.
Further reading
For more information on current industry developments, visit Cybersecurity.
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Do you trust that businesses can safely and effectively integrate their private data with AI tools?
