Nasuni, the unstructured data platform for enterprise teams and AI, announced it has acquired DryvIQ, a leader in intelligent unstructured data management—adding AI-powered content intelligence and governance capabilities to the Nasuni File Data Platform—including content-level discovery and classification, sensitivity detection, and automated policy-driven governance.
According to the company, this acquisition will give organizations greater visibility and control over unstructured data, not just within Nasuni, but across more than 40 cloud and on-premises repositories.
"Our customers are looking to us for help with data strategies to support safe AI access in a world of rising infrastructure costs. To meet that need, this year we've added best-in-class edge performance with Resilio, permission-aware AI access with AI Activate, and now content intelligence and governance with DryvIQ," said Nick Burling, chief product officer at Nasuni. "With UniFS as the foundation, no other solution manages, moves, classifies, governs, and activates enterprise file data in a single platform. Customers have been attempting to stitch together a solution across multiple vendors for years. Now Nasuni provides one platform to manage, protect, and activate unstructured data with proven impact on both cost reduction and productivity gains."
With the addition of DryvIQ, Nasuni enables enterprises to:
- Discover and classify content: AI-powered models scan file content across more than 550 file formats, over 100 entities, and over 1,000 business document types, detecting PII, PHI, and PCI data across more than 175 languages.
- Identify, organize, and act based on file content: Customers can continuously discover, classify, and manage unstructured data in-place and at scale.
- Optimize infrastructure costs with data-driven decisions and hybrid cloud flexibility: DryvIQ provides content-level intelligence to make informed decisions about how data is managed, classified, and governed. Nasuni provides the flexibility to place data where it makes the most strategic sense, whether on-premises, in the cloud, or both, optimized for team and AI access as well as infrastructure cost.
- Enforce governance automatically: Configurable policy rules quarantine high-risk content, apply retention and sensitivity labels, remediate permissions, and support defensible deletion across more than 40 cloud and on-premises repositories. Policy enforcement can be mapped to GDPR, HIPAA, PCI-DSS, and other regulatory frameworks.
- Activate data for AI with confidence: By classifying content, detecting sensitivity, and enforcing policy before data is exposed to AI, DryvIQ ensures organizations can activate unstructured data for enterprise teams and the AI that supports them safely and at scale.
"Organizations are increasingly focused on turning unstructured data into a strategic asset, but content is scattered across dozens of repositories, and most of it has never been classified," said Mark Brazeau, founder and chief strategy officer at DryvIQ. "By joining Nasuni, we can bring our content intelligence and governance capabilities directly into a cloud-native file platform, giving customers a single, governed foundation to classify, protect, and activate data wherever it lives."
DryvIQ is available to use immediately, and Nasuni plans to deepen its integration with its file data platform over the coming months.
For more information about this news, visit www.nasuni.com.